Project 2: AutoEncoders and GANs¶

This project involves using an AutoEncoder, Variational Autoencoder and a GAN. The data is the Y. Isaienkov LEGO Minigfigures pictures dataset. It has been split into train and test data, the train data having 4 different franchises (Star Wars, Harry Potter, Marvel and Jurassic World) and the test data has pictures from every franchise. In total, there are 494 pictures, 415 in train and 79 in test, so ~16% is test data.

Table of Contents¶

  • Import
  • Dataset
  • Data Generator
  • Autoencoder
  • Variational Autoencoder
  • GAN

Import ¶

In [1]:
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import seaborn as sns
import os
import random
import torchvision
import cv2

from datasets import load_dataset

import optuna

%matplotlib inline
C:\Users\rvaal\anaconda3\envs\GAN\Lib\site-packages\tqdm\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
  from .autonotebook import tqdm as notebook_tqdm
In [2]:
from torchvision import transforms
from torchvision.datasets import ImageFolder
from torch.utils.data import Dataset,DataLoader
from PIL import Image
In [3]:
from helper_train import train_autoencoder_v1,train_vae_v1
from helper_utils import set_deterministic, set_all_seeds
from helper_plotting import plot_training_loss
from helper_plotting import plot_generated_images,plot_latent_space_with_labels
from helper_stuff import *
In [4]:
import torch
import torch.nn as nn
import cv2 as cv
import torch.nn.functional as F
from albumentations.pytorch import ToTensorV2
import torchvision.transforms.functional as TF
import tensorflow as tf
import albumentations as A

device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
device
Out[4]:
device(type='cuda')

From previous run:

Best hyperparameters: {'latent_dim': 189, 'lr_gen': 1.5079571870971633e-05, 'lr_discr': 8.667730309028803e-05, 'batch_size': 20, 'num_epochs': 7}

From current run:

Best hyperparameters: {'latent_dim': 189, 'lr_gen': 0.001221490964348859, 'lr_discr': 0.0003257527184873621, 'batch_size': 49, 'num_epochs': 6}

In [ ]:
# Hyperparameters
RANDOM_SEED = 123
LEARNING_RATE = 0.0005
BATCH_SIZE = 30
NUM_EPOCHS = 30
GAN_EPOCHS = 50
GENERATOR_LEARNING_RATE = 0.001221490964348859
DISCRIMINATOR_LEARNING_RATE = 0.0003257527184873621
IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS = 224, 224, 3

VALID_SIZE = 0.3
IMAGE_SIZE = (512,512)
TRAIN_BATCH_SIZE = 16
VALID_BATCH_SIZE = 1
TEST_BATCH_SIZE = 1
In [6]:
set_deterministic
set_all_seeds(RANDOM_SEED)

Dataset ¶

In [7]:
import kagglehub
# Importing the dataset

# Download latest version
path = kagglehub.dataset_download("ihelon/lego-minifigures-classification")

print("Path to dataset files:", path) 
Path to dataset files: C:\Users\rvaal\.cache\kagglehub\datasets\ihelon\lego-minifigures-classification\versions\30
In [8]:
BASE_DIR = r"C:\Users\rvaal\.cache\kagglehub\datasets\ihelon\lego-minifigures-classification\versions\30"
PATH_INDEX = os.path.join(BASE_DIR, "index.csv")
PATH_TEST = os.path.join(BASE_DIR, "test.csv")
PATH_METADATA = os.path.join(BASE_DIR, "metadata.csv")
In [9]:
df_train = pd.read_csv(PATH_INDEX)
df_train = df_train.reset_index()
df_train
Out[9]:
index path class_id
0 0 marvel/0001/001.jpg 1
1 1 marvel/0001/002.jpg 1
2 2 marvel/0001/003.jpg 1
3 3 marvel/0001/004.jpg 1
4 4 marvel/0001/005.jpg 1
... ... ... ...
366 366 star-wars/0017/006.jpg 38
367 367 star-wars/0017/007.jpg 38
368 368 star-wars/0017/008.jpg 38
369 369 star-wars/0017/009.jpg 38
370 370 star-wars/0017/010.jpg 38

371 rows × 3 columns

In [10]:
df_test = pd.read_csv(PATH_INDEX)
In [11]:
df_train["path"]= df_train["path"].str.replace("/","\\")  # replacing forward slash with backslash, so that it is possible to load the images
In [12]:
from PIL import Image
example = Image.open(BASE_DIR + "\\"+df_train["path"][0]) # Path to the first image, in this case the first Marvel image
example
Out[12]:
No description has been provided for this image

Dataset Generation ¶

Because the dataset only includes 500 images, we have to generate new images so that the autoencoder has something to train on.

In [13]:
# Read information about dataset
from sklearn import model_selection as sk_model_selection

tmp_train, tmp_valid = sk_model_selection.train_test_split(
    df_train, 
    test_size=VALID_SIZE, 
    random_state=RANDOM_SEED, 
    stratify=df_train['class_id'],
)


def get_paths_and_targets(tmp_df):
    # Get file paths
    paths = tmp_df["path"].values
    # Create full paths (base dir + concrete file name)
    paths = list(map(lambda x: os.path.join(BASE_DIR, x), paths))
    # Get labels
    targets = tmp_df["class_id"].values
    
    return paths, targets


# Get train file paths and targets
train_paths, train_targets = get_paths_and_targets(tmp_train)

# Get valid file paths and targets
valid_paths, valid_targets = get_paths_and_targets(tmp_valid)

df_test = pd.read_csv(PATH_TEST)
# Get test file paths and targets
test_paths, test_targets = get_paths_and_targets(df_test)
In [14]:
def get_train_transforms():
    return A.Compose(
        [
            A.Affine(
                p=1, 
                translate_percent=(-0.2, 0.2), 
                rotate=(-20, 20), 
                scale = (0.9,1),
                border_mode=4
            ),
            A.CoarseDropout(
                p=0.8, 
                num_holes_range = (1,50),
                hole_height_range=(1, 10),
                hole_width_range=(1, 10),
            ),
            A.CoarseDropout(
                p=0.8, 
                num_holes_range = (1,30),
                hole_height_range=(10, 10),
                hole_width_range=(10, 10),
                fill=255,
            ),
            A.HorizontalFlip(p=0.6),
            A.Illumination(
                mode='linear',
                intensity_range=(0.01, 0.2),
                effect_type='brighten',
               angle_range=(0, 10)
            ),
            A.Blur(p=0.6),
            A.RandomBrightnessContrast(p=1,
                                       brightness_limit=0.1,
                                       contrast_limit=0.1,
                                      ),  
            A.RandomGamma(gamma_limit=(95, 105),p=0.6),  
            A.ToFloat(),
            A.LongestMaxSize(IMAGE_HEIGHT),
            ToTensorV2(transpose_mask=False, p=1.0),
        ], 
        p=1.0
    )
def get_rest_transforms():
    return A.Compose(
        [
            A.LongestMaxSize(IMAGE_HEIGHT),
            ToTensorV2(transpose_mask=False, p=1.0),
        ], 
        p=1.0
    )
In [15]:
train_generator = DataGenerator(
    train_paths, 
    train_targets, 
    batch_size=TRAIN_BATCH_SIZE, 
    image_size=IMAGE_SIZE,
    shuffle=True, 
    transforms=get_train_transforms(),
)

# Initialize the valid data generator
valid_generator = DataGenerator(
    valid_paths, 
    valid_targets, 
    image_size=IMAGE_SIZE,
    batch_size=VALID_BATCH_SIZE, 
    shuffle=False,
    transforms=get_rest_transforms(),
)

# Initialize the test data generator
test_generator = DataGenerator(
    test_paths, 
    test_targets, 
    image_size=IMAGE_SIZE,
    batch_size=TEST_BATCH_SIZE, 
    shuffle=False,
    transforms=get_rest_transforms(),
)
In [16]:
# Let's visualize some batches of the train data
plt.figure(figsize=(16, 16))
ind = 0
for i_batch in range(len(train_generator)):
    images, labels = train_generator[i_batch]
    for i in range(len(images)):
        plt.subplot(5, 5, ind + 1)
        ind += 1
        plt.imshow(TF.to_pil_image(images[i]))
        plt.title(f"class: {labels[i]}")
        plt.axis("off")
        if ind >= 25:
            break
    if ind >= 25:
        break

plt.show()
No description has been provided for this image
In [17]:
plt.figure(figsize=(16, 16))
ind = 0
for i_batch in range(len(valid_generator)):
    images, labels = valid_generator[i_batch]
    for i in range(len(images)):
        plt.subplot(5, 5, ind + 1)
        ind += 1
        plt.imshow(TF.to_pil_image(images[i]))
        plt.title(f"class: {labels[i]}")
        plt.axis("off")
        if ind >= 25:
            break
    if ind >= 25:
        break

plt.show()
No description has been provided for this image
In [18]:
train_loader = DataLoader(train_generator, batch_size=BATCH_SIZE, shuffle=True)
val_loader = DataLoader(valid_generator, batch_size=BATCH_SIZE)
test_loader = DataLoader(test_generator, batch_size=BATCH_SIZE)
In [19]:
# Checking the dataset
print('Training Set:\n')
for images, labels in train_loader:  
    print('Image batch dimensions:', images.permute(0,1,3,4,2).size())
    print('Image label dimensions:', labels.size())
    print(labels[:10])
    break

print('\nValidating Set:')
for images, labels in val_loader:  
    print('Image batch dimensions:', images.size())
    print('Image label dimensions:', labels.size())
    print(labels[:10])
    break
# Checking the dataset
print('\nTesting Set:')
for images, labels in test_loader:  
    print('Image batch dimensions:', images.size())
    print('Image label dimensions:', labels.size())
    print(labels[:10])
    break
Training Set:

Image batch dimensions: torch.Size([16, 16, 224, 224, 3])
Image label dimensions: torch.Size([16, 16])
tensor([[ 5,  4, 37, 16, 32, 26, 20, 34, 19, 21,  6,  1,  1,  3,  9, 37],
        [19, 35, 32, 27, 14, 15,  9, 13, 27, 28, 14,  3,  8,  3, 36,  2],
        [ 0,  5, 30, 18,  5, 13, 17, 24,  5, 11,  8, 19, 10,  6, 31, 16],
        [17, 21,  0, 25,  7, 14, 19, 17, 37,  4, 27, 22,  6, 17, 32, 27],
        [13, 34, 23,  7,  9, 35, 32, 15, 36, 28, 17, 17, 16, 18, 36, 34],
        [36,  7, 25, 18,  2, 29, 29, 17, 34,  8,  0,  8,  6, 36,  6, 29],
        [16, 20,  0, 10, 25, 12, 11, 34,  6, 20, 28, 22, 26, 34,  5,  1],
        [30, 22, 35,  2, 26, 33, 23,  3, 21,  8,  0,  4, 18, 10, 25,  2],
        [25, 32, 23, 20, 33, 29, 28, 28, 12, 16, 33, 25,  5, 12,  7, 26],
        [26, 20, 30, 22, 11, 23, 27, 31, 33, 28, 30, 26, 30,  6, 18, 20]])

Validating Set:
Image batch dimensions: torch.Size([20, 1, 3, 224, 224])
Image label dimensions: torch.Size([20, 1])
tensor([[14],
        [31],
        [17],
        [19],
        [32],
        [20],
        [ 9],
        [32],
        [29],
        [ 2]])

Testing Set:
Image batch dimensions: torch.Size([20, 1, 3, 224, 224])
Image label dimensions: torch.Size([20, 1])
tensor([[31],
        [31],
        [31],
        [31],
        [ 0],
        [ 2],
        [ 1],
        [ 3],
        [ 0],
        [ 2]])

The Dataset has the size (Batch size, data generator batch size, alpha channel, height, width). The models expect the size (batch size, alpha channel, height, width) so the dataset has to be permuted, flipping the first two dimensions.

Autoencoder ¶

In [20]:
##########################
### MODEL
##########################


class Reshape(nn.Module):
    def __init__(self, *args):
        super().__init__()
        self.shape = args

    def forward(self, x):
        return x.view(self.shape)


class Trim(nn.Module):
    def __init__(self, *args):
        super().__init__()

    def forward(self, x):
        return x[:, :, :224, :224]


class AutoEncoder(nn.Module):
    def __init__(self):
        super().__init__()
        
        # Encoder
        self.encoder = nn.Sequential( 
            nn.Conv2d(3, 64, stride=1, kernel_size=3, padding=1), 
            nn.BatchNorm2d(64),
            nn.LeakyReLU(0.01),
            nn.Conv2d(64, 128, stride=2, kernel_size=3, padding=1),  
            nn.BatchNorm2d(128),
            nn.LeakyReLU(0.01),
            nn.Conv2d(128, 128, stride=2, kernel_size=3, padding=1),  
            nn.BatchNorm2d(128),
            nn.LeakyReLU(0.01),
            nn.Conv2d(128, 128, stride=1, kernel_size=3, padding=1),  
            nn.Conv2d(128, 256, stride=2, kernel_size=3, padding=1), 
            nn.BatchNorm2d(256),
            nn.LeakyReLU(0.01),
            nn.Flatten(),
            nn.Linear(256 * 28 * 28, 4)  
        )
        
        # Decoder
        self.decoder = nn.Sequential(
            nn.Linear(4, 256 * 28 * 28),  
            nn.LeakyReLU(0.01),
            Reshape(-1, 256, 28, 28),  
            nn.ConvTranspose2d(256, 128, stride=2, kernel_size=4, padding=1), 
            nn.BatchNorm2d(128),
            nn.LeakyReLU(0.01),
            nn.ConvTranspose2d(128, 64, stride=2, kernel_size=3, padding=1),  
            nn.BatchNorm2d(64),
            nn.LeakyReLU(0.01),
            nn.ConvTranspose2d(64, 32, stride=2, kernel_size=3, padding=0), 
            nn.BatchNorm2d(32),
            nn.LeakyReLU(0.01),
            nn.ConvTranspose2d(32, 3, stride=1, kernel_size=3, padding=0),  
            Trim(),
            nn.Sigmoid()
        )

    def forward(self, x):
        x = self.encoder(x)
        x = self.decoder(x)
        return x
In [21]:
model = AutoEncoder()
model.to(device)

optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE)  
In [22]:
log_dict = train_autoencoder_v1(num_epochs=NUM_EPOCHS, model=model, 
                                optimizer=optimizer, device=device, 
                                train_loader=train_loader,
                                skip_epoch_stats=True,
                                logging_interval=250)
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1766
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1546
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1436
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1235
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1330
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1018
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1097
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0781
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0761
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0797
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0780
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0789
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0591
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0659
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0554
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0486
Time elapsed: 0.09 min
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0740
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0633
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0854
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0626
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0711
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0752
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0604
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0494
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0549
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0497
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0530
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0531
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0475
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0537
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0452
Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0413
Time elapsed: 0.18 min
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0610
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0592
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0773
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0583
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0701
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0668
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0628
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0528
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0574
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0531
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0495
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0470
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0469
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0557
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0423
Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0418
Time elapsed: 0.25 min
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0577
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0561
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0743
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0571
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0640
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0617
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0671
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0531
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0528
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0546
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0499
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0556
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0423
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0528
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0422
Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0377
Time elapsed: 0.33 min
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0623
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0503
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0729
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0519
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0654
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0621
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0610
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0470
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0548
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0509
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0484
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0532
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0419
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0563
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0440
Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0406
Time elapsed: 0.41 min
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0573
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0576
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0685
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0583
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0606
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0623
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0528
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0505
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0529
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0494
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0484
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0506
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0421
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0500
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0412
Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0372
Time elapsed: 0.49 min
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0540
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0523
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0718
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0533
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0635
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0637
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0566
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0443
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0519
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0477
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0473
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0507
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0419
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0509
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0455
Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0329
Time elapsed: 0.57 min
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0515
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0521
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0617
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0499
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0592
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0617
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0629
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0466
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0533
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0483
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0465
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0461
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0437
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0491
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0375
Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0356
Time elapsed: 0.65 min
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0583
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0457
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0634
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0500
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0596
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0617
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0593
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0503
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0508
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0562
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0442
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0478
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0426
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0502
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0411
Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0354
Time elapsed: 0.74 min
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0548
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0474
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0553
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0525
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0577
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0653
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0556
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0411
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0478
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0508
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0426
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0480
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0406
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0452
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0381
Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0341
Time elapsed: 0.82 min
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0504
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0468
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0633
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0498
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0616
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0570
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0548
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0384
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0467
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0475
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0396
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0459
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0392
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0502
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0357
Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0330
Time elapsed: 0.89 min
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0553
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0425
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0580
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0510
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0575
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0586
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0545
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0478
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0462
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0483
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0390
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0476
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0402
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0499
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0361
Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0347
Time elapsed: 0.97 min
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0506
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0487
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0548
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0487
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0630
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0589
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0512
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0414
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0470
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0449
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0407
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0470
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0376
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0440
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0343
Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0370
Time elapsed: 1.05 min
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0487
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0430
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0480
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0455
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0529
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0601
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0495
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0451
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0487
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0470
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0393
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0438
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0354
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0448
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0354
Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0344
Time elapsed: 1.13 min
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0526
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0434
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0511
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0459
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0534
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0611
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0562
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0441
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0511
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0516
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0382
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0457
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0399
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0424
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0366
Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0314
Time elapsed: 1.21 min
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0480
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0409
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0535
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0462
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0577
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0567
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0513
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0393
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0466
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0431
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0395
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0427
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0406
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0467
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0366
Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0323
Time elapsed: 1.28 min
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0550
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0438
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0540
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0448
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0490
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0585
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0519
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0433
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0425
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0434
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0382
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0478
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0341
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0445
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0350
Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0332
Time elapsed: 1.36 min
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0501
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0432
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0507
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0482
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0487
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0539
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0478
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0362
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0399
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0425
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0380
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0398
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0361
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0401
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0331
Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0320
Time elapsed: 1.43 min
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0452
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0425
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0505
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0400
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0499
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0524
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0487
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0378
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0429
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0451
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0370
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0405
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0351
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0401
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0361
Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0330
Time elapsed: 1.50 min
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0452
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0403
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0505
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0433
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0466
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0530
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0452
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0388
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0431
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0487
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0337
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0401
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0358
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0375
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0352
Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0260
Time elapsed: 1.58 min
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0462
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0439
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0482
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0420
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0488
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0560
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0473
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0368
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0421
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0437
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0343
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0446
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0363
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0358
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0330
Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0298
Time elapsed: 1.65 min
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0435
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0405
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0424
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0417
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0457
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0537
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0523
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0360
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0423
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0368
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0350
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0355
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0381
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0421
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0315
Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0293
Time elapsed: 1.72 min
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0453
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0360
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0462
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0450
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0534
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0462
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0451
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0375
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0415
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0445
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0321
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0401
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0346
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0373
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0343
Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0294
Time elapsed: 1.80 min
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0484
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0380
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0512
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0415
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0496
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0524
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0487
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0363
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0426
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0439
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0341
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0388
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0369
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0388
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0383
Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0271
Time elapsed: 1.87 min
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0457
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0360
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0452
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0429
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0440
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0548
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0449
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0357
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0408
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0410
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0302
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0380
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0354
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0376
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0364
Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0298
Time elapsed: 1.95 min
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0431
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0390
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0505
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0439
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0489
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0535
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0509
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0362
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0507
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0377
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0327
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0370
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0350
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0371
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0313
Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0288
Time elapsed: 2.03 min
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0452
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0351
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0483
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0403
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0469
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0515
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0531
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0420
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0431
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0417
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0345
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0416
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0357
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0393
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0320
Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0272
Time elapsed: 2.10 min
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0427
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0381
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0498
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0405
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0460
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0541
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0455
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0354
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0435
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0415
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0332
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0417
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0350
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0389
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0309
Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0271
Time elapsed: 2.18 min
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0437
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0359
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0500
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0403
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0484
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0530
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0456
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0402
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0431
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0430
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0328
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0381
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0350
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0362
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0318
Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0252
Time elapsed: 2.25 min
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0445
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0355
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0437
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0389
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0443
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0551
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0446
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0365
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0390
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0453
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0310
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0407
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0338
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0370
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0321
Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0299
Time elapsed: 2.32 min
Total Training Time: 2.32 min
In [23]:
plot_training_loss(log_dict['train_loss_per_batch'], NUM_EPOCHS)
plt.show()
No description has been provided for this image
In [24]:
plot_generated_images(data_loader=train_loader, model=model, device=device)  
plt.show()
No description has been provided for this image
In [25]:
plot_latent_space_with_labels(
    num_classes=39,
    data_loader=train_loader,
    model=model, 
    device=device)
plt.show()
No description has been provided for this image

The colors are set based on the franchise, Marvel is red, Star Wars is blue, Harry Potter is yellow and Jurassic World is green.

Variational Autoencoder ¶

In [31]:
##########################
### MODEL
##########################


class Reshape(nn.Module):
    def __init__(self, *args):
        super().__init__()
        self.shape = args

    def forward(self, x):
        return x.view(self.shape)


class Trim(nn.Module):
    def __init__(self, *args):
        super().__init__()

    def forward(self, x):
        return x[:, :, :224, :224]


class VAE(nn.Module):
    def __init__(self):
        super().__init__()
        
        self.encoder = nn.Sequential(
                nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1),  # Output: (16, 64, 224, 224)
                nn.BatchNorm2d(64),
                nn.LeakyReLU(0.01),
                nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1),  # Output: (16, 128, 112, 112)
                nn.BatchNorm2d(128),
                nn.LeakyReLU(0.01),
                nn.Conv2d(128, 128, kernel_size=3, stride=2, padding=1),  # Output: (16, 128, 56, 56)
                nn.BatchNorm2d(128),
                nn.LeakyReLU(0.01),
                nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1),  # Output: (16, 256, 28, 28)
                nn.BatchNorm2d(256),
                nn.LeakyReLU(0.01),
                nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=1),  # Output: (16, 256, 14, 14)
                nn.BatchNorm2d(256),
                nn.LeakyReLU(0.01),
                nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=1),  # Output: (16, 256, 7, 7)
                nn.Flatten(),  # Output: (16, 256 * 7 * 7)
        )    
        
        self.z_mean = nn.Linear(12544, 4)
        self.z_log_var = nn.Linear(12544, 4)
        
        self.decoder = nn.Sequential(
                nn.Linear(4,12544),  
                nn.LeakyReLU(0.01),
                Reshape(-1, 256, 7, 7),  # Reshape to match the encoder's downsampling
                nn.ConvTranspose2d(256, 128, stride=2, kernel_size=4, padding=1), 
                nn.BatchNorm2d(128),
                nn.LeakyReLU(0.01),
                nn.ConvTranspose2d(128, 64, stride=2, kernel_size=4, padding=1),  
                nn.BatchNorm2d(64),
                nn.LeakyReLU(0.01),
                nn.ConvTranspose2d(64, 32, stride=2, kernel_size=4, padding=1), 
                nn.BatchNorm2d(32),
                nn.LeakyReLU(0.01),
                nn.ConvTranspose2d(32, 16, stride=2, kernel_size=4, padding=1), 
                nn.BatchNorm2d(16),
                nn.LeakyReLU(0.01),
                nn.ConvTranspose2d(16, 3, stride=2, kernel_size=4, padding=1),
                Trim(),
                nn.Sigmoid()
                )

    def encoding_fn(self, x):
        x = self.encoder(x)
        z_mean, z_log_var = self.z_mean(x), self.z_log_var(x)
        encoded = self.reparameterize(z_mean, z_log_var)
        return encoded
        
    def reparameterize(self, z_mu, z_log_var):
        eps = torch.randn(z_mu.size(0), z_mu.size(1)).to(z_mu.get_device())
        z = z_mu + eps * torch.exp(z_log_var/2.) 
        return z
        
    def forward(self, x):
        encoded = self.encoding_fn(x)
        x = self.encoder(x)
        decoded = self.decoder(encoded)
        z_mean, z_log_var = self.z_mean(x), self.z_log_var(x)  
        return encoded, z_mean, z_log_var, decoded
In [32]:
model2 = VAE()
model2.to(device)

optimizer = torch.optim.Adam(model2.parameters(), lr=LEARNING_RATE) 
In [33]:
log_dict = train_vae_v1(num_epochs=NUM_EPOCHS, model=model2, 
                        optimizer=optimizer, device=device, 
                        train_loader=train_loader,
                        skip_epoch_stats=True,
                        logging_interval=50)
Epoch: 001/030 | Batch 0000/0001 | Loss: 15873.3896
Epoch: 001/030 | Batch 0000/0001 | Loss: 13367.5908
Epoch: 001/030 | Batch 0000/0001 | Loss: 15890.2031
Epoch: 001/030 | Batch 0000/0001 | Loss: 13456.4033
Epoch: 001/030 | Batch 0000/0001 | Loss: 14167.9824
Epoch: 001/030 | Batch 0000/0001 | Loss: 13961.0850
Epoch: 001/030 | Batch 0000/0001 | Loss: 14397.2227
Epoch: 001/030 | Batch 0000/0001 | Loss: 12603.9082
Epoch: 001/030 | Batch 0000/0001 | Loss: 13930.2520
Epoch: 001/030 | Batch 0000/0001 | Loss: 15960.9150
Epoch: 001/030 | Batch 0000/0001 | Loss: 13831.2803
Epoch: 001/030 | Batch 0000/0001 | Loss: 11013.8291
Epoch: 001/030 | Batch 0000/0001 | Loss: 10021.5107
Epoch: 001/030 | Batch 0000/0001 | Loss: 14108.3447
Epoch: 001/030 | Batch 0000/0001 | Loss: 11321.2100
Epoch: 001/030 | Batch 0000/0001 | Loss: 12399.4688
Time elapsed: 0.09 min
Epoch: 002/030 | Batch 0000/0001 | Loss: 12173.8174
Epoch: 002/030 | Batch 0000/0001 | Loss: 13382.5049
Epoch: 002/030 | Batch 0000/0001 | Loss: 13927.1777
Epoch: 002/030 | Batch 0000/0001 | Loss: 12150.8799
Epoch: 002/030 | Batch 0000/0001 | Loss: 12188.1973
Epoch: 002/030 | Batch 0000/0001 | Loss: 13039.5566
Epoch: 002/030 | Batch 0000/0001 | Loss: 13184.2314
Epoch: 002/030 | Batch 0000/0001 | Loss: 10146.7188
Epoch: 002/030 | Batch 0000/0001 | Loss: 10050.2715
Epoch: 002/030 | Batch 0000/0001 | Loss: 13452.9219
Epoch: 002/030 | Batch 0000/0001 | Loss: 11712.5879
Epoch: 002/030 | Batch 0000/0001 | Loss: 11572.6758
Epoch: 002/030 | Batch 0000/0001 | Loss: 9214.1367
Epoch: 002/030 | Batch 0000/0001 | Loss: 11287.7861
Epoch: 002/030 | Batch 0000/0001 | Loss: 8468.6572
Epoch: 002/030 | Batch 0000/0001 | Loss: 8995.2861
Time elapsed: 0.18 min
Epoch: 003/030 | Batch 0000/0001 | Loss: 10360.9697
Epoch: 003/030 | Batch 0000/0001 | Loss: 10205.6426
Epoch: 003/030 | Batch 0000/0001 | Loss: 13665.3789
Epoch: 003/030 | Batch 0000/0001 | Loss: 10109.3799
Epoch: 003/030 | Batch 0000/0001 | Loss: 10650.1621
Epoch: 003/030 | Batch 0000/0001 | Loss: 10938.7285
Epoch: 003/030 | Batch 0000/0001 | Loss: 11073.2178
Epoch: 003/030 | Batch 0000/0001 | Loss: 9248.5537
Epoch: 003/030 | Batch 0000/0001 | Loss: 10430.0215
Epoch: 003/030 | Batch 0000/0001 | Loss: 10402.4434
Epoch: 003/030 | Batch 0000/0001 | Loss: 9835.5361
Epoch: 003/030 | Batch 0000/0001 | Loss: 8520.4590
Epoch: 003/030 | Batch 0000/0001 | Loss: 8809.0166
Epoch: 003/030 | Batch 0000/0001 | Loss: 9676.1318
Epoch: 003/030 | Batch 0000/0001 | Loss: 7470.9355
Epoch: 003/030 | Batch 0000/0001 | Loss: 9001.0654
Time elapsed: 0.27 min
Epoch: 004/030 | Batch 0000/0001 | Loss: 9872.9463
Epoch: 004/030 | Batch 0000/0001 | Loss: 10331.6279
Epoch: 004/030 | Batch 0000/0001 | Loss: 12176.4922
Epoch: 004/030 | Batch 0000/0001 | Loss: 9278.3389
Epoch: 004/030 | Batch 0000/0001 | Loss: 11457.8857
Epoch: 004/030 | Batch 0000/0001 | Loss: 9496.2275
Epoch: 004/030 | Batch 0000/0001 | Loss: 10303.3730
Epoch: 004/030 | Batch 0000/0001 | Loss: 8314.9492
Epoch: 004/030 | Batch 0000/0001 | Loss: 8752.1836
Epoch: 004/030 | Batch 0000/0001 | Loss: 7893.2959
Epoch: 004/030 | Batch 0000/0001 | Loss: 8824.1270
Epoch: 004/030 | Batch 0000/0001 | Loss: 8297.4697
Epoch: 004/030 | Batch 0000/0001 | Loss: 7150.4312
Epoch: 004/030 | Batch 0000/0001 | Loss: 9156.3418
Epoch: 004/030 | Batch 0000/0001 | Loss: 6886.3647
Epoch: 004/030 | Batch 0000/0001 | Loss: 7553.2085
Time elapsed: 0.35 min
Epoch: 005/030 | Batch 0000/0001 | Loss: 8472.0762
Epoch: 005/030 | Batch 0000/0001 | Loss: 8142.4004
Epoch: 005/030 | Batch 0000/0001 | Loss: 10773.3838
Epoch: 005/030 | Batch 0000/0001 | Loss: 8482.7988
Epoch: 005/030 | Batch 0000/0001 | Loss: 9458.2773
Epoch: 005/030 | Batch 0000/0001 | Loss: 9899.6250
Epoch: 005/030 | Batch 0000/0001 | Loss: 8933.8623
Epoch: 005/030 | Batch 0000/0001 | Loss: 7501.6973
Epoch: 005/030 | Batch 0000/0001 | Loss: 7660.5430
Epoch: 005/030 | Batch 0000/0001 | Loss: 7928.8403
Epoch: 005/030 | Batch 0000/0001 | Loss: 7839.6260
Epoch: 005/030 | Batch 0000/0001 | Loss: 7440.1445
Epoch: 005/030 | Batch 0000/0001 | Loss: 6480.2886
Epoch: 005/030 | Batch 0000/0001 | Loss: 8185.0410
Epoch: 005/030 | Batch 0000/0001 | Loss: 6288.1362
Epoch: 005/030 | Batch 0000/0001 | Loss: 6293.0146
Time elapsed: 0.44 min
Epoch: 006/030 | Batch 0000/0001 | Loss: 8782.0986
Epoch: 006/030 | Batch 0000/0001 | Loss: 8155.6655
Epoch: 006/030 | Batch 0000/0001 | Loss: 9324.1387
Epoch: 006/030 | Batch 0000/0001 | Loss: 7746.8247
Epoch: 006/030 | Batch 0000/0001 | Loss: 8129.7876
Epoch: 006/030 | Batch 0000/0001 | Loss: 9863.0420
Epoch: 006/030 | Batch 0000/0001 | Loss: 8244.9775
Epoch: 006/030 | Batch 0000/0001 | Loss: 6031.9946
Epoch: 006/030 | Batch 0000/0001 | Loss: 7353.3892
Epoch: 006/030 | Batch 0000/0001 | Loss: 7580.0459
Epoch: 006/030 | Batch 0000/0001 | Loss: 7122.4131
Epoch: 006/030 | Batch 0000/0001 | Loss: 7124.2334
Epoch: 006/030 | Batch 0000/0001 | Loss: 5442.1274
Epoch: 006/030 | Batch 0000/0001 | Loss: 6995.9077
Epoch: 006/030 | Batch 0000/0001 | Loss: 5809.9736
Epoch: 006/030 | Batch 0000/0001 | Loss: 6503.7266
Time elapsed: 0.52 min
Epoch: 007/030 | Batch 0000/0001 | Loss: 8069.8911
Epoch: 007/030 | Batch 0000/0001 | Loss: 7483.2290
Epoch: 007/030 | Batch 0000/0001 | Loss: 9020.4199
Epoch: 007/030 | Batch 0000/0001 | Loss: 7525.1958
Epoch: 007/030 | Batch 0000/0001 | Loss: 7569.6060
Epoch: 007/030 | Batch 0000/0001 | Loss: 9200.7070
Epoch: 007/030 | Batch 0000/0001 | Loss: 7382.2227
Epoch: 007/030 | Batch 0000/0001 | Loss: 6695.1494
Epoch: 007/030 | Batch 0000/0001 | Loss: 7126.3198
Epoch: 007/030 | Batch 0000/0001 | Loss: 6629.3091
Epoch: 007/030 | Batch 0000/0001 | Loss: 6226.1714
Epoch: 007/030 | Batch 0000/0001 | Loss: 6286.6924
Epoch: 007/030 | Batch 0000/0001 | Loss: 6214.2534
Epoch: 007/030 | Batch 0000/0001 | Loss: 6984.6133
Epoch: 007/030 | Batch 0000/0001 | Loss: 5931.7480
Epoch: 007/030 | Batch 0000/0001 | Loss: 5486.0659
Time elapsed: 0.60 min
Epoch: 008/030 | Batch 0000/0001 | Loss: 8069.6318
Epoch: 008/030 | Batch 0000/0001 | Loss: 6636.5176
Epoch: 008/030 | Batch 0000/0001 | Loss: 8143.0498
Epoch: 008/030 | Batch 0000/0001 | Loss: 7310.4634
Epoch: 008/030 | Batch 0000/0001 | Loss: 7632.1338
Epoch: 008/030 | Batch 0000/0001 | Loss: 8659.4502
Epoch: 008/030 | Batch 0000/0001 | Loss: 7828.5093
Epoch: 008/030 | Batch 0000/0001 | Loss: 6043.9097
Epoch: 008/030 | Batch 0000/0001 | Loss: 6291.3042
Epoch: 008/030 | Batch 0000/0001 | Loss: 6788.0112
Epoch: 008/030 | Batch 0000/0001 | Loss: 6194.4604
Epoch: 008/030 | Batch 0000/0001 | Loss: 6170.4116
Epoch: 008/030 | Batch 0000/0001 | Loss: 5444.4189
Epoch: 008/030 | Batch 0000/0001 | Loss: 6514.9521
Epoch: 008/030 | Batch 0000/0001 | Loss: 4786.6870
Epoch: 008/030 | Batch 0000/0001 | Loss: 4410.8003
Time elapsed: 0.69 min
Epoch: 009/030 | Batch 0000/0001 | Loss: 7365.9497
Epoch: 009/030 | Batch 0000/0001 | Loss: 5686.9497
Epoch: 009/030 | Batch 0000/0001 | Loss: 7513.2271
Epoch: 009/030 | Batch 0000/0001 | Loss: 7024.6934
Epoch: 009/030 | Batch 0000/0001 | Loss: 7335.4287
Epoch: 009/030 | Batch 0000/0001 | Loss: 8012.7114
Epoch: 009/030 | Batch 0000/0001 | Loss: 6987.7588
Epoch: 009/030 | Batch 0000/0001 | Loss: 5860.3008
Epoch: 009/030 | Batch 0000/0001 | Loss: 6626.5381
Epoch: 009/030 | Batch 0000/0001 | Loss: 5858.8271
Epoch: 009/030 | Batch 0000/0001 | Loss: 5030.6729
Epoch: 009/030 | Batch 0000/0001 | Loss: 6542.7461
Epoch: 009/030 | Batch 0000/0001 | Loss: 4960.9941
Epoch: 009/030 | Batch 0000/0001 | Loss: 6433.1748
Epoch: 009/030 | Batch 0000/0001 | Loss: 4909.2495
Epoch: 009/030 | Batch 0000/0001 | Loss: 4566.5269
Time elapsed: 0.77 min
Epoch: 010/030 | Batch 0000/0001 | Loss: 6444.0654
Epoch: 010/030 | Batch 0000/0001 | Loss: 6155.1982
Epoch: 010/030 | Batch 0000/0001 | Loss: 7954.5083
Epoch: 010/030 | Batch 0000/0001 | Loss: 6527.5176
Epoch: 010/030 | Batch 0000/0001 | Loss: 8024.8936
Epoch: 010/030 | Batch 0000/0001 | Loss: 8073.1050
Epoch: 010/030 | Batch 0000/0001 | Loss: 7179.5879
Epoch: 010/030 | Batch 0000/0001 | Loss: 5108.9956
Epoch: 010/030 | Batch 0000/0001 | Loss: 6382.0806
Epoch: 010/030 | Batch 0000/0001 | Loss: 6116.2417
Epoch: 010/030 | Batch 0000/0001 | Loss: 5013.4229
Epoch: 010/030 | Batch 0000/0001 | Loss: 5904.5625
Epoch: 010/030 | Batch 0000/0001 | Loss: 5743.4917
Epoch: 010/030 | Batch 0000/0001 | Loss: 5852.1260
Epoch: 010/030 | Batch 0000/0001 | Loss: 5317.3472
Epoch: 010/030 | Batch 0000/0001 | Loss: 4375.4712
Time elapsed: 0.86 min
Epoch: 011/030 | Batch 0000/0001 | Loss: 7530.1763
Epoch: 011/030 | Batch 0000/0001 | Loss: 5602.0352
Epoch: 011/030 | Batch 0000/0001 | Loss: 7367.8677
Epoch: 011/030 | Batch 0000/0001 | Loss: 6352.7051
Epoch: 011/030 | Batch 0000/0001 | Loss: 7139.9556
Epoch: 011/030 | Batch 0000/0001 | Loss: 8001.4189
Epoch: 011/030 | Batch 0000/0001 | Loss: 7517.3701
Epoch: 011/030 | Batch 0000/0001 | Loss: 5662.7563
Epoch: 011/030 | Batch 0000/0001 | Loss: 6474.0786
Epoch: 011/030 | Batch 0000/0001 | Loss: 6181.9468
Epoch: 011/030 | Batch 0000/0001 | Loss: 5949.3745
Epoch: 011/030 | Batch 0000/0001 | Loss: 6816.9248
Epoch: 011/030 | Batch 0000/0001 | Loss: 5402.2617
Epoch: 011/030 | Batch 0000/0001 | Loss: 5629.5928
Epoch: 011/030 | Batch 0000/0001 | Loss: 5279.4971
Epoch: 011/030 | Batch 0000/0001 | Loss: 4531.1768
Time elapsed: 0.94 min
Epoch: 012/030 | Batch 0000/0001 | Loss: 6866.0117
Epoch: 012/030 | Batch 0000/0001 | Loss: 5764.3477
Epoch: 012/030 | Batch 0000/0001 | Loss: 7125.8926
Epoch: 012/030 | Batch 0000/0001 | Loss: 6115.6440
Epoch: 012/030 | Batch 0000/0001 | Loss: 7062.0513
Epoch: 012/030 | Batch 0000/0001 | Loss: 9097.1641
Epoch: 012/030 | Batch 0000/0001 | Loss: 7200.6948
Epoch: 012/030 | Batch 0000/0001 | Loss: 5760.2866
Epoch: 012/030 | Batch 0000/0001 | Loss: 6334.7139
Epoch: 012/030 | Batch 0000/0001 | Loss: 6091.7935
Epoch: 012/030 | Batch 0000/0001 | Loss: 5764.4463
Epoch: 012/030 | Batch 0000/0001 | Loss: 6710.5898
Epoch: 012/030 | Batch 0000/0001 | Loss: 5258.2891
Epoch: 012/030 | Batch 0000/0001 | Loss: 5691.0083
Epoch: 012/030 | Batch 0000/0001 | Loss: 6135.4004
Epoch: 012/030 | Batch 0000/0001 | Loss: 4252.3062
Time elapsed: 1.03 min
Epoch: 013/030 | Batch 0000/0001 | Loss: 7013.8008
Epoch: 013/030 | Batch 0000/0001 | Loss: 5522.1646
Epoch: 013/030 | Batch 0000/0001 | Loss: 7738.5815
Epoch: 013/030 | Batch 0000/0001 | Loss: 5533.4048
Epoch: 013/030 | Batch 0000/0001 | Loss: 7525.4268
Epoch: 013/030 | Batch 0000/0001 | Loss: 8436.0225
Epoch: 013/030 | Batch 0000/0001 | Loss: 6738.0527
Epoch: 013/030 | Batch 0000/0001 | Loss: 5491.6489
Epoch: 013/030 | Batch 0000/0001 | Loss: 6623.8496
Epoch: 013/030 | Batch 0000/0001 | Loss: 6162.2734
Epoch: 013/030 | Batch 0000/0001 | Loss: 4985.3125
Epoch: 013/030 | Batch 0000/0001 | Loss: 6107.7402
Epoch: 013/030 | Batch 0000/0001 | Loss: 5907.4048
Epoch: 013/030 | Batch 0000/0001 | Loss: 5995.8208
Epoch: 013/030 | Batch 0000/0001 | Loss: 5666.4961
Epoch: 013/030 | Batch 0000/0001 | Loss: 4709.8716
Time elapsed: 1.12 min
Epoch: 014/030 | Batch 0000/0001 | Loss: 6351.6235
Epoch: 014/030 | Batch 0000/0001 | Loss: 5196.8291
Epoch: 014/030 | Batch 0000/0001 | Loss: 6907.4771
Epoch: 014/030 | Batch 0000/0001 | Loss: 6424.3345
Epoch: 014/030 | Batch 0000/0001 | Loss: 6798.9067
Epoch: 014/030 | Batch 0000/0001 | Loss: 7788.0918
Epoch: 014/030 | Batch 0000/0001 | Loss: 6355.6475
Epoch: 014/030 | Batch 0000/0001 | Loss: 5137.2773
Epoch: 014/030 | Batch 0000/0001 | Loss: 5973.3491
Epoch: 014/030 | Batch 0000/0001 | Loss: 6612.3213
Epoch: 014/030 | Batch 0000/0001 | Loss: 5978.8672
Epoch: 014/030 | Batch 0000/0001 | Loss: 6068.2271
Epoch: 014/030 | Batch 0000/0001 | Loss: 5275.1152
Epoch: 014/030 | Batch 0000/0001 | Loss: 5082.6108
Epoch: 014/030 | Batch 0000/0001 | Loss: 5283.7832
Epoch: 014/030 | Batch 0000/0001 | Loss: 4022.9626
Time elapsed: 1.20 min
Epoch: 015/030 | Batch 0000/0001 | Loss: 6666.1802
Epoch: 015/030 | Batch 0000/0001 | Loss: 5798.9585
Epoch: 015/030 | Batch 0000/0001 | Loss: 7412.5532
Epoch: 015/030 | Batch 0000/0001 | Loss: 6415.5542
Epoch: 015/030 | Batch 0000/0001 | Loss: 7549.8071
Epoch: 015/030 | Batch 0000/0001 | Loss: 8649.4990
Epoch: 015/030 | Batch 0000/0001 | Loss: 6510.2119
Epoch: 015/030 | Batch 0000/0001 | Loss: 5769.3281
Epoch: 015/030 | Batch 0000/0001 | Loss: 5894.6904
Epoch: 015/030 | Batch 0000/0001 | Loss: 6270.7407
Epoch: 015/030 | Batch 0000/0001 | Loss: 5566.5342
Epoch: 015/030 | Batch 0000/0001 | Loss: 5664.7510
Epoch: 015/030 | Batch 0000/0001 | Loss: 5002.4248
Epoch: 015/030 | Batch 0000/0001 | Loss: 5037.0635
Epoch: 015/030 | Batch 0000/0001 | Loss: 4678.3184
Epoch: 015/030 | Batch 0000/0001 | Loss: 4353.1982
Time elapsed: 1.29 min
Epoch: 016/030 | Batch 0000/0001 | Loss: 6807.1860
Epoch: 016/030 | Batch 0000/0001 | Loss: 5137.8394
Epoch: 016/030 | Batch 0000/0001 | Loss: 7131.7656
Epoch: 016/030 | Batch 0000/0001 | Loss: 6327.2837
Epoch: 016/030 | Batch 0000/0001 | Loss: 7495.3940
Epoch: 016/030 | Batch 0000/0001 | Loss: 8510.8975
Epoch: 016/030 | Batch 0000/0001 | Loss: 6510.2344
Epoch: 016/030 | Batch 0000/0001 | Loss: 5317.1812
Epoch: 016/030 | Batch 0000/0001 | Loss: 5660.6108
Epoch: 016/030 | Batch 0000/0001 | Loss: 5798.5161
Epoch: 016/030 | Batch 0000/0001 | Loss: 4924.1162
Epoch: 016/030 | Batch 0000/0001 | Loss: 6298.2612
Epoch: 016/030 | Batch 0000/0001 | Loss: 5615.0894
Epoch: 016/030 | Batch 0000/0001 | Loss: 6073.8916
Epoch: 016/030 | Batch 0000/0001 | Loss: 4802.9087
Epoch: 016/030 | Batch 0000/0001 | Loss: 4607.0986
Time elapsed: 1.37 min
Epoch: 017/030 | Batch 0000/0001 | Loss: 6712.1611
Epoch: 017/030 | Batch 0000/0001 | Loss: 5776.6782
Epoch: 017/030 | Batch 0000/0001 | Loss: 7746.4297
Epoch: 017/030 | Batch 0000/0001 | Loss: 5704.2246
Epoch: 017/030 | Batch 0000/0001 | Loss: 7322.2324
Epoch: 017/030 | Batch 0000/0001 | Loss: 8268.7285
Epoch: 017/030 | Batch 0000/0001 | Loss: 6491.6660
Epoch: 017/030 | Batch 0000/0001 | Loss: 5105.9243
Epoch: 017/030 | Batch 0000/0001 | Loss: 6001.2495
Epoch: 017/030 | Batch 0000/0001 | Loss: 5925.2290
Epoch: 017/030 | Batch 0000/0001 | Loss: 5251.4863
Epoch: 017/030 | Batch 0000/0001 | Loss: 6172.2373
Epoch: 017/030 | Batch 0000/0001 | Loss: 5960.0391
Epoch: 017/030 | Batch 0000/0001 | Loss: 5604.6597
Epoch: 017/030 | Batch 0000/0001 | Loss: 6153.6694
Epoch: 017/030 | Batch 0000/0001 | Loss: 3786.8359
Time elapsed: 1.45 min
Epoch: 018/030 | Batch 0000/0001 | Loss: 6360.4751
Epoch: 018/030 | Batch 0000/0001 | Loss: 5410.6763
Epoch: 018/030 | Batch 0000/0001 | Loss: 6821.4761
Epoch: 018/030 | Batch 0000/0001 | Loss: 5690.6460
Epoch: 018/030 | Batch 0000/0001 | Loss: 6747.1562
Epoch: 018/030 | Batch 0000/0001 | Loss: 7539.8447
Epoch: 018/030 | Batch 0000/0001 | Loss: 6810.7295
Epoch: 018/030 | Batch 0000/0001 | Loss: 4883.2383
Epoch: 018/030 | Batch 0000/0001 | Loss: 5907.5581
Epoch: 018/030 | Batch 0000/0001 | Loss: 6030.6514
Epoch: 018/030 | Batch 0000/0001 | Loss: 5682.9268
Epoch: 018/030 | Batch 0000/0001 | Loss: 5857.4580
Epoch: 018/030 | Batch 0000/0001 | Loss: 5460.7100
Epoch: 018/030 | Batch 0000/0001 | Loss: 6594.9009
Epoch: 018/030 | Batch 0000/0001 | Loss: 5788.7866
Epoch: 018/030 | Batch 0000/0001 | Loss: 4625.8208
Time elapsed: 1.54 min
Epoch: 019/030 | Batch 0000/0001 | Loss: 6774.6572
Epoch: 019/030 | Batch 0000/0001 | Loss: 6118.6367
Epoch: 019/030 | Batch 0000/0001 | Loss: 6788.4482
Epoch: 019/030 | Batch 0000/0001 | Loss: 5912.2046
Epoch: 019/030 | Batch 0000/0001 | Loss: 6464.3511
Epoch: 019/030 | Batch 0000/0001 | Loss: 7547.2432
Epoch: 019/030 | Batch 0000/0001 | Loss: 7271.8447
Epoch: 019/030 | Batch 0000/0001 | Loss: 4918.0537
Epoch: 019/030 | Batch 0000/0001 | Loss: 5773.3662
Epoch: 019/030 | Batch 0000/0001 | Loss: 6690.2222
Epoch: 019/030 | Batch 0000/0001 | Loss: 5134.3877
Epoch: 019/030 | Batch 0000/0001 | Loss: 5760.1235
Epoch: 019/030 | Batch 0000/0001 | Loss: 4826.0073
Epoch: 019/030 | Batch 0000/0001 | Loss: 5671.6157
Epoch: 019/030 | Batch 0000/0001 | Loss: 4591.7178
Epoch: 019/030 | Batch 0000/0001 | Loss: 4297.1045
Time elapsed: 1.63 min
Epoch: 020/030 | Batch 0000/0001 | Loss: 6059.9668
Epoch: 020/030 | Batch 0000/0001 | Loss: 5276.2285
Epoch: 020/030 | Batch 0000/0001 | Loss: 7828.8789
Epoch: 020/030 | Batch 0000/0001 | Loss: 5738.7104
Epoch: 020/030 | Batch 0000/0001 | Loss: 7420.3945
Epoch: 020/030 | Batch 0000/0001 | Loss: 7590.2373
Epoch: 020/030 | Batch 0000/0001 | Loss: 7367.3037
Epoch: 020/030 | Batch 0000/0001 | Loss: 5343.2329
Epoch: 020/030 | Batch 0000/0001 | Loss: 6036.7300
Epoch: 020/030 | Batch 0000/0001 | Loss: 5861.3633
Epoch: 020/030 | Batch 0000/0001 | Loss: 5212.3428
Epoch: 020/030 | Batch 0000/0001 | Loss: 5513.5645
Epoch: 020/030 | Batch 0000/0001 | Loss: 5035.3203
Epoch: 020/030 | Batch 0000/0001 | Loss: 5483.8423
Epoch: 020/030 | Batch 0000/0001 | Loss: 5143.2725
Epoch: 020/030 | Batch 0000/0001 | Loss: 3784.0876
Time elapsed: 1.71 min
Epoch: 021/030 | Batch 0000/0001 | Loss: 6678.9854
Epoch: 021/030 | Batch 0000/0001 | Loss: 5695.6680
Epoch: 021/030 | Batch 0000/0001 | Loss: 7223.4238
Epoch: 021/030 | Batch 0000/0001 | Loss: 6115.6138
Epoch: 021/030 | Batch 0000/0001 | Loss: 6950.6475
Epoch: 021/030 | Batch 0000/0001 | Loss: 7149.3296
Epoch: 021/030 | Batch 0000/0001 | Loss: 7105.8530
Epoch: 021/030 | Batch 0000/0001 | Loss: 5587.6675
Epoch: 021/030 | Batch 0000/0001 | Loss: 6051.8442
Epoch: 021/030 | Batch 0000/0001 | Loss: 6153.2935
Epoch: 021/030 | Batch 0000/0001 | Loss: 4683.5444
Epoch: 021/030 | Batch 0000/0001 | Loss: 6036.0225
Epoch: 021/030 | Batch 0000/0001 | Loss: 5352.7334
Epoch: 021/030 | Batch 0000/0001 | Loss: 5330.4858
Epoch: 021/030 | Batch 0000/0001 | Loss: 4634.0752
Epoch: 021/030 | Batch 0000/0001 | Loss: 4782.6069
Time elapsed: 1.80 min
Epoch: 022/030 | Batch 0000/0001 | Loss: 6100.0234
Epoch: 022/030 | Batch 0000/0001 | Loss: 5258.4517
Epoch: 022/030 | Batch 0000/0001 | Loss: 6649.9370
Epoch: 022/030 | Batch 0000/0001 | Loss: 6147.9814
Epoch: 022/030 | Batch 0000/0001 | Loss: 7164.7017
Epoch: 022/030 | Batch 0000/0001 | Loss: 7984.0996
Epoch: 022/030 | Batch 0000/0001 | Loss: 7202.1235
Epoch: 022/030 | Batch 0000/0001 | Loss: 5457.4126
Epoch: 022/030 | Batch 0000/0001 | Loss: 6103.7832
Epoch: 022/030 | Batch 0000/0001 | Loss: 5132.3076
Epoch: 022/030 | Batch 0000/0001 | Loss: 5508.8647
Epoch: 022/030 | Batch 0000/0001 | Loss: 5662.4385
Epoch: 022/030 | Batch 0000/0001 | Loss: 5209.5596
Epoch: 022/030 | Batch 0000/0001 | Loss: 5784.6172
Epoch: 022/030 | Batch 0000/0001 | Loss: 4608.6992
Epoch: 022/030 | Batch 0000/0001 | Loss: 3919.3750
Time elapsed: 1.88 min
Epoch: 023/030 | Batch 0000/0001 | Loss: 6143.4751
Epoch: 023/030 | Batch 0000/0001 | Loss: 5443.3770
Epoch: 023/030 | Batch 0000/0001 | Loss: 7472.2705
Epoch: 023/030 | Batch 0000/0001 | Loss: 6075.5708
Epoch: 023/030 | Batch 0000/0001 | Loss: 6699.9585
Epoch: 023/030 | Batch 0000/0001 | Loss: 8427.9297
Epoch: 023/030 | Batch 0000/0001 | Loss: 7071.7432
Epoch: 023/030 | Batch 0000/0001 | Loss: 5475.6934
Epoch: 023/030 | Batch 0000/0001 | Loss: 6156.5293
Epoch: 023/030 | Batch 0000/0001 | Loss: 5308.3359
Epoch: 023/030 | Batch 0000/0001 | Loss: 5589.5566
Epoch: 023/030 | Batch 0000/0001 | Loss: 5676.5605
Epoch: 023/030 | Batch 0000/0001 | Loss: 5628.5669
Epoch: 023/030 | Batch 0000/0001 | Loss: 5532.8076
Epoch: 023/030 | Batch 0000/0001 | Loss: 4377.6064
Epoch: 023/030 | Batch 0000/0001 | Loss: 3993.9854
Time elapsed: 1.97 min
Epoch: 024/030 | Batch 0000/0001 | Loss: 7206.8096
Epoch: 024/030 | Batch 0000/0001 | Loss: 5379.2041
Epoch: 024/030 | Batch 0000/0001 | Loss: 7111.2427
Epoch: 024/030 | Batch 0000/0001 | Loss: 6469.8047
Epoch: 024/030 | Batch 0000/0001 | Loss: 6664.1519
Epoch: 024/030 | Batch 0000/0001 | Loss: 7881.4912
Epoch: 024/030 | Batch 0000/0001 | Loss: 6528.0210
Epoch: 024/030 | Batch 0000/0001 | Loss: 5258.6914
Epoch: 024/030 | Batch 0000/0001 | Loss: 5642.5234
Epoch: 024/030 | Batch 0000/0001 | Loss: 6428.9482
Epoch: 024/030 | Batch 0000/0001 | Loss: 5083.1548
Epoch: 024/030 | Batch 0000/0001 | Loss: 6401.8579
Epoch: 024/030 | Batch 0000/0001 | Loss: 5222.7529
Epoch: 024/030 | Batch 0000/0001 | Loss: 5481.3735
Epoch: 024/030 | Batch 0000/0001 | Loss: 4977.7695
Epoch: 024/030 | Batch 0000/0001 | Loss: 3898.3672
Time elapsed: 2.06 min
Epoch: 025/030 | Batch 0000/0001 | Loss: 6514.1172
Epoch: 025/030 | Batch 0000/0001 | Loss: 5511.0679
Epoch: 025/030 | Batch 0000/0001 | Loss: 7601.0615
Epoch: 025/030 | Batch 0000/0001 | Loss: 6602.5112
Epoch: 025/030 | Batch 0000/0001 | Loss: 6299.3179
Epoch: 025/030 | Batch 0000/0001 | Loss: 6944.0576
Epoch: 025/030 | Batch 0000/0001 | Loss: 6237.7095
Epoch: 025/030 | Batch 0000/0001 | Loss: 5001.5869
Epoch: 025/030 | Batch 0000/0001 | Loss: 6260.1938
Epoch: 025/030 | Batch 0000/0001 | Loss: 5756.7905
Epoch: 025/030 | Batch 0000/0001 | Loss: 4597.9048
Epoch: 025/030 | Batch 0000/0001 | Loss: 5116.3970
Epoch: 025/030 | Batch 0000/0001 | Loss: 5374.0039
Epoch: 025/030 | Batch 0000/0001 | Loss: 5416.2671
Epoch: 025/030 | Batch 0000/0001 | Loss: 5199.3882
Epoch: 025/030 | Batch 0000/0001 | Loss: 3750.9868
Time elapsed: 2.14 min
Epoch: 026/030 | Batch 0000/0001 | Loss: 6993.1460
Epoch: 026/030 | Batch 0000/0001 | Loss: 5087.5371
Epoch: 026/030 | Batch 0000/0001 | Loss: 6574.3081
Epoch: 026/030 | Batch 0000/0001 | Loss: 6205.9736
Epoch: 026/030 | Batch 0000/0001 | Loss: 6962.4375
Epoch: 026/030 | Batch 0000/0001 | Loss: 8011.5586
Epoch: 026/030 | Batch 0000/0001 | Loss: 6612.3569
Epoch: 026/030 | Batch 0000/0001 | Loss: 5092.4766
Epoch: 026/030 | Batch 0000/0001 | Loss: 6365.7812
Epoch: 026/030 | Batch 0000/0001 | Loss: 6188.2324
Epoch: 026/030 | Batch 0000/0001 | Loss: 5082.9678
Epoch: 026/030 | Batch 0000/0001 | Loss: 5535.3174
Epoch: 026/030 | Batch 0000/0001 | Loss: 4791.7939
Epoch: 026/030 | Batch 0000/0001 | Loss: 5267.4824
Epoch: 026/030 | Batch 0000/0001 | Loss: 4752.1289
Epoch: 026/030 | Batch 0000/0001 | Loss: 3854.4780
Time elapsed: 2.22 min
Epoch: 027/030 | Batch 0000/0001 | Loss: 5885.3823
Epoch: 027/030 | Batch 0000/0001 | Loss: 5606.8281
Epoch: 027/030 | Batch 0000/0001 | Loss: 7109.0967
Epoch: 027/030 | Batch 0000/0001 | Loss: 6296.2246
Epoch: 027/030 | Batch 0000/0001 | Loss: 7228.9868
Epoch: 027/030 | Batch 0000/0001 | Loss: 7735.5122
Epoch: 027/030 | Batch 0000/0001 | Loss: 7140.9160
Epoch: 027/030 | Batch 0000/0001 | Loss: 5052.4150
Epoch: 027/030 | Batch 0000/0001 | Loss: 6461.7163
Epoch: 027/030 | Batch 0000/0001 | Loss: 5927.3667
Epoch: 027/030 | Batch 0000/0001 | Loss: 4951.9409
Epoch: 027/030 | Batch 0000/0001 | Loss: 5471.0103
Epoch: 027/030 | Batch 0000/0001 | Loss: 5002.5225
Epoch: 027/030 | Batch 0000/0001 | Loss: 5295.7832
Epoch: 027/030 | Batch 0000/0001 | Loss: 4662.1143
Epoch: 027/030 | Batch 0000/0001 | Loss: 4160.5625
Time elapsed: 2.30 min
Epoch: 028/030 | Batch 0000/0001 | Loss: 6470.2139
Epoch: 028/030 | Batch 0000/0001 | Loss: 5762.5840
Epoch: 028/030 | Batch 0000/0001 | Loss: 6675.4248
Epoch: 028/030 | Batch 0000/0001 | Loss: 5701.1416
Epoch: 028/030 | Batch 0000/0001 | Loss: 6626.0542
Epoch: 028/030 | Batch 0000/0001 | Loss: 8192.1230
Epoch: 028/030 | Batch 0000/0001 | Loss: 7548.6729
Epoch: 028/030 | Batch 0000/0001 | Loss: 5347.8955
Epoch: 028/030 | Batch 0000/0001 | Loss: 5793.5654
Epoch: 028/030 | Batch 0000/0001 | Loss: 6320.2515
Epoch: 028/030 | Batch 0000/0001 | Loss: 5244.8843
Epoch: 028/030 | Batch 0000/0001 | Loss: 5847.5938
Epoch: 028/030 | Batch 0000/0001 | Loss: 4934.2964
Epoch: 028/030 | Batch 0000/0001 | Loss: 5674.9570
Epoch: 028/030 | Batch 0000/0001 | Loss: 4613.6602
Epoch: 028/030 | Batch 0000/0001 | Loss: 4099.9292
Time elapsed: 2.39 min
Epoch: 029/030 | Batch 0000/0001 | Loss: 6320.8945
Epoch: 029/030 | Batch 0000/0001 | Loss: 5268.7480
Epoch: 029/030 | Batch 0000/0001 | Loss: 7434.7529
Epoch: 029/030 | Batch 0000/0001 | Loss: 5792.7471
Epoch: 029/030 | Batch 0000/0001 | Loss: 6789.1924
Epoch: 029/030 | Batch 0000/0001 | Loss: 7650.0000
Epoch: 029/030 | Batch 0000/0001 | Loss: 7447.9956
Epoch: 029/030 | Batch 0000/0001 | Loss: 4956.9194
Epoch: 029/030 | Batch 0000/0001 | Loss: 6324.4907
Epoch: 029/030 | Batch 0000/0001 | Loss: 6036.6367
Epoch: 029/030 | Batch 0000/0001 | Loss: 5035.4214
Epoch: 029/030 | Batch 0000/0001 | Loss: 5622.9751
Epoch: 029/030 | Batch 0000/0001 | Loss: 5523.5581
Epoch: 029/030 | Batch 0000/0001 | Loss: 5195.9658
Epoch: 029/030 | Batch 0000/0001 | Loss: 5370.6499
Epoch: 029/030 | Batch 0000/0001 | Loss: 3962.6511
Time elapsed: 2.47 min
Epoch: 030/030 | Batch 0000/0001 | Loss: 6992.9761
Epoch: 030/030 | Batch 0000/0001 | Loss: 5917.5151
Epoch: 030/030 | Batch 0000/0001 | Loss: 6618.0068
Epoch: 030/030 | Batch 0000/0001 | Loss: 5815.6660
Epoch: 030/030 | Batch 0000/0001 | Loss: 6611.6904
Epoch: 030/030 | Batch 0000/0001 | Loss: 7800.2124
Epoch: 030/030 | Batch 0000/0001 | Loss: 6315.4521
Epoch: 030/030 | Batch 0000/0001 | Loss: 5042.9482
Epoch: 030/030 | Batch 0000/0001 | Loss: 6291.3525
Epoch: 030/030 | Batch 0000/0001 | Loss: 6158.2065
Epoch: 030/030 | Batch 0000/0001 | Loss: 5027.1372
Epoch: 030/030 | Batch 0000/0001 | Loss: 5967.1094
Epoch: 030/030 | Batch 0000/0001 | Loss: 4943.2109
Epoch: 030/030 | Batch 0000/0001 | Loss: 5399.6992
Epoch: 030/030 | Batch 0000/0001 | Loss: 4483.4565
Epoch: 030/030 | Batch 0000/0001 | Loss: 4061.9590
Time elapsed: 2.55 min
Total Training Time: 2.55 min
In [34]:
plot_training_loss(log_dict['train_reconstruction_loss_per_batch'], NUM_EPOCHS, custom_label=" (reconstruction)")
plot_training_loss(log_dict['train_kl_loss_per_batch'], NUM_EPOCHS, custom_label=" (KL)")
plot_training_loss(log_dict['train_combined_loss_per_batch'], NUM_EPOCHS, custom_label=" (combined)")
plt.show()
No description has been provided for this image
No description has been provided for this image
No description has been provided for this image
In [35]:
plot_generated_images(data_loader=train_loader, model=model2, device=device, modeltype='VAE')     
plt.show()
No description has been provided for this image
In [36]:
plot_latent_space_with_labels(
    num_classes=38,
    data_loader=train_loader,
    model = model2,
    device=device)

plt.show()
No description has been provided for this image

GAN ¶

In [37]:
##########################
### MODEL
##########################
import torch
import torch.nn as nn

class GAN(nn.Module):
    def __init__(self, latent_dim=189, image_height=224, image_width=224, color_channels=3):
        super().__init__()
        
        self.image_height = image_height
        self.image_width = image_width
        self.color_channels = color_channels
        self.latent_dim = latent_dim
        
        # Generator
        self.generator = nn.Sequential(
            nn.Linear(self.latent_dim, 256),  # First layer expects (batch_size, latent_dim)
            nn.LeakyReLU(negative_slope=0.2, inplace=True),
            nn.Linear(256, 512),
            nn.LeakyReLU(negative_slope=0.2, inplace=True),
            nn.Linear(512, self.color_channels * self.image_height * self.image_width),
            nn.Tanh()
        )
        
        # Discriminator
        self.discriminator = nn.Sequential(
            nn.Flatten(),
            nn.Linear(self.color_channels * self.image_height * self.image_width, 512),
            nn.LeakyReLU(negative_slope=0.2, inplace=True),
            nn.Linear(512, 256),
            nn.LeakyReLU(negative_slope=0.2, inplace=True),
            nn.Linear(256, 1)
        )
    
    def generator_forward(self, z):
        # Ensure z has the correct latent dimension (batch_size, latent_dim)
        if z.dim() == 4:  # (batch_size, latent_dim, 1, 1)
            z = z.view(z.size(0), -1)  # Flatten it to (batch_size, latent_dim)
        
        img = self.generator(z)
        
        # Reshape the output to (batch_size, color_channels, image_height, image_width)
        img = img.view(z.size(0), self.color_channels, self.image_height, self.image_width)
        return img
    
    def discriminator_forward(self, img):
        logits = self.discriminator(img)
        return logits
In [38]:
modelGAN = GAN()
modelGAN.to(device)


optim_gen = torch.optim.Adam(modelGAN.generator.parameters(),
                             betas=(0.5, 0.999),
                             lr=GENERATOR_LEARNING_RATE)

optim_discr = torch.optim.Adam(modelGAN.discriminator.parameters(),
                               betas=(0.5, 0.999),
                               lr=DISCRIMINATOR_LEARNING_RATE)
In [40]:
import optuna
import torch.optim as optim

# Define the objective function for Optuna
def objective(trial):
    latent_dim = trial.suggest_int('latent_dim', 100, 200)
    lr_gen = trial.suggest_loguniform('lr_gen', 1e-5, 1e-2)
    lr_discr = trial.suggest_loguniform('lr_discr', 1e-5, 1e-2)
    batch_size = trial.suggest_int('batch_size', 16, 64)
    num_epochs = trial.suggest_int('num_epochs', 1, 20)
    
    # Initialize the model, optimizers
    model = GAN(latent_dim=latent_dim).to(device)
    optimizer_gen = optim.Adam(model.generator.parameters(), lr=lr_gen, betas=(0.5, 0.999))
    optimizer_discr = optim.Adam(model.discriminator.parameters(), lr=lr_discr, betas=(0.5, 0.999))
    
    # Training loop 
    log_dict = train_gan_v1(
        num_epochs=num_epochs,
        model=model,
        optimizer_gen=optimizer_gen,
        optimizer_discr=optimizer_discr,
        latent_dim=latent_dim,
        device=device,
        train_loader=train_loader,
        logging_interval=100
    )
    
    # Return the discriminator loss as the objective for Optuna
    return log_dict['train_discriminator_loss_per_batch'][-1]

# Create a study and optimize
study = optuna.create_study(direction='minimize')  # Minimize the discriminator loss
study.optimize(objective, n_trials=10)  # Number of trials to run

# Print the best hyperparameters
print(f"Best hyperparameters: {study.best_params}")
[I 2025-01-13 12:29:35,929] A new study created in memory with name: no-name-84cb5e75-cd57-42bc-95ef-770f8ebe8070
C:\Users\rvaal\AppData\Local\Temp\ipykernel_22704\3781775788.py:7: FutureWarning: suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use suggest_float(..., log=True) instead.
  lr_gen = trial.suggest_loguniform('lr_gen', 1e-5, 1e-2)
C:\Users\rvaal\AppData\Local\Temp\ipykernel_22704\3781775788.py:8: FutureWarning: suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use suggest_float(..., log=True) instead.
  lr_discr = trial.suggest_loguniform('lr_discr', 1e-5, 1e-2)
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.0090 | Dis Loss (Avg): 0.0069 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.0260 | Dis Loss (Avg): 0.0153 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.0567 | Dis Loss (Avg): 0.0163 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.1001 | Dis Loss (Avg): 0.0164 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.1510 | Dis Loss (Avg): 0.0163 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.2041 | Dis Loss (Avg): 0.0162 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.2558 | Dis Loss (Avg): 0.0161 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.3039 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.3484 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.3947 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.4487 | Dis Loss (Avg): 0.0161 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.5062 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.5635 | Dis Loss (Avg): 0.0159 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.6268 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.6924 | Dis Loss (Avg): 0.0159 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.7623 | Dis Loss (Avg): 0.0159 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.08 min
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.7774 | Dis Loss (Avg): 0.0225 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.7842 | Dis Loss (Avg): 0.0608 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.8355 | Dis Loss (Avg): 0.0709 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.8693 | Dis Loss (Avg): 0.0866 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.8944 | Dis Loss (Avg): 0.0863 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.9231 | Dis Loss (Avg): 0.0865 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.9568 | Dis Loss (Avg): 0.0862 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.9792 | Dis Loss (Avg): 0.0937 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0083 | Dis Loss (Avg): 0.0940 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0431 | Dis Loss (Avg): 0.0937 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0442 | Dis Loss (Avg): 0.1075 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0640 | Dis Loss (Avg): 0.1172 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0969 | Dis Loss (Avg): 0.1170 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.1126 | Dis Loss (Avg): 0.1375 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.1289 | Dis Loss (Avg): 0.1378 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.1568 | Dis Loss (Avg): 0.1384 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.16 min
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.1944 | Dis Loss (Avg): 0.1386 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2118 | Dis Loss (Avg): 0.1540 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2100 | Dis Loss (Avg): 0.1638 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2031 | Dis Loss (Avg): 0.1897 | Real Acc: 93.75% | Fake Acc: 6.25%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2062 | Dis Loss (Avg): 0.2032 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2253 | Dis Loss (Avg): 0.2078 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2588 | Dis Loss (Avg): 0.2062 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2883 | Dis Loss (Avg): 0.2045 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3251 | Dis Loss (Avg): 0.2053 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3345 | Dis Loss (Avg): 0.2205 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3260 | Dis Loss (Avg): 0.2394 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3171 | Dis Loss (Avg): 0.2563 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3153 | Dis Loss (Avg): 0.2642 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3124 | Dis Loss (Avg): 0.2738 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3158 | Dis Loss (Avg): 0.2736 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3171 | Dis Loss (Avg): 0.2796 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 0.23 min
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3166 | Dis Loss (Avg): 0.2798 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3247 | Dis Loss (Avg): 0.2811 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3403 | Dis Loss (Avg): 0.2802 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3398 | Dis Loss (Avg): 0.2801 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3279 | Dis Loss (Avg): 0.2989 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3268 | Dis Loss (Avg): 0.3142 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3563 | Dis Loss (Avg): 0.3159 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3961 | Dis Loss (Avg): 0.3129 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4369 | Dis Loss (Avg): 0.3099 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4685 | Dis Loss (Avg): 0.3069 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4739 | Dis Loss (Avg): 0.3248 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4649 | Dis Loss (Avg): 0.3240 | Real Acc: 93.75% | Fake Acc: 12.50%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4620 | Dis Loss (Avg): 0.3304 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4558 | Dis Loss (Avg): 0.3426 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4571 | Dis Loss (Avg): 0.3448 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4676 | Dis Loss (Avg): 0.3431 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.30 min
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4777 | Dis Loss (Avg): 0.3415 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4881 | Dis Loss (Avg): 0.3388 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4919 | Dis Loss (Avg): 0.3467 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4901 | Dis Loss (Avg): 0.3454 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4932 | Dis Loss (Avg): 0.3447 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4951 | Dis Loss (Avg): 0.3435 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.5031 | Dis Loss (Avg): 0.3432 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4993 | Dis Loss (Avg): 0.3472 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4937 | Dis Loss (Avg): 0.3548 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4843 | Dis Loss (Avg): 0.3714 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4787 | Dis Loss (Avg): 0.3826 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4713 | Dis Loss (Avg): 0.3872 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4767 | Dis Loss (Avg): 0.3895 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4789 | Dis Loss (Avg): 0.3942 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4962 | Dis Loss (Avg): 0.3934 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.5138 | Dis Loss (Avg): 0.3922 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 0.37 min
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5101 | Dis Loss (Avg): 0.4265 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5157 | Dis Loss (Avg): 0.4260 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5112 | Dis Loss (Avg): 0.4339 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5164 | Dis Loss (Avg): 0.4337 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5200 | Dis Loss (Avg): 0.4410 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5346 | Dis Loss (Avg): 0.4387 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5545 | Dis Loss (Avg): 0.4352 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5551 | Dis Loss (Avg): 0.4484 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5410 | Dis Loss (Avg): 0.4553 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5283 | Dis Loss (Avg): 0.4648 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5222 | Dis Loss (Avg): 0.4696 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5312 | Dis Loss (Avg): 0.4677 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5395 | Dis Loss (Avg): 0.4769 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5475 | Dis Loss (Avg): 0.4729 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5527 | Dis Loss (Avg): 0.4692 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5560 | Dis Loss (Avg): 0.4661 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.44 min
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5488 | Dis Loss (Avg): 0.4797 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5429 | Dis Loss (Avg): 0.4793 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5402 | Dis Loss (Avg): 0.4784 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5378 | Dis Loss (Avg): 0.4765 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5377 | Dis Loss (Avg): 0.4741 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5321 | Dis Loss (Avg): 0.4977 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5306 | Dis Loss (Avg): 0.4964 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5259 | Dis Loss (Avg): 0.5142 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5244 | Dis Loss (Avg): 0.5122 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5179 | Dis Loss (Avg): 0.5102 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5125 | Dis Loss (Avg): 0.5106 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5117 | Dis Loss (Avg): 0.5098 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5169 | Dis Loss (Avg): 0.5067 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5268 | Dis Loss (Avg): 0.5026 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5378 | Dis Loss (Avg): 0.4983 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5342 | Dis Loss (Avg): 0.4997 | Real Acc: 87.50% | Fake Acc: 100.00%
Time elapsed: 0.51 min
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5276 | Dis Loss (Avg): 0.5012 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5251 | Dis Loss (Avg): 0.5032 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5173 | Dis Loss (Avg): 0.5338 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5112 | Dis Loss (Avg): 0.5340 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5031 | Dis Loss (Avg): 0.5358 | Real Acc: 93.75% | Fake Acc: 62.50%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5005 | Dis Loss (Avg): 0.5349 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5055 | Dis Loss (Avg): 0.5321 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5032 | Dis Loss (Avg): 0.5461 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5018 | Dis Loss (Avg): 0.5431 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4949 | Dis Loss (Avg): 0.5413 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4907 | Dis Loss (Avg): 0.5401 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4911 | Dis Loss (Avg): 0.5382 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4959 | Dis Loss (Avg): 0.5348 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4931 | Dis Loss (Avg): 0.5531 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4853 | Dis Loss (Avg): 0.5550 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4810 | Dis Loss (Avg): 0.5533 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.57 min
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4821 | Dis Loss (Avg): 0.5502 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4865 | Dis Loss (Avg): 0.5462 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4859 | Dis Loss (Avg): 0.5426 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4832 | Dis Loss (Avg): 0.5398 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4822 | Dis Loss (Avg): 0.5374 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4840 | Dis Loss (Avg): 0.5345 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4812 | Dis Loss (Avg): 0.5366 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4723 | Dis Loss (Avg): 0.5351 | Real Acc: 93.75% | Fake Acc: 18.75%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4650 | Dis Loss (Avg): 0.5366 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4628 | Dis Loss (Avg): 0.5367 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4590 | Dis Loss (Avg): 0.5412 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4597 | Dis Loss (Avg): 0.5382 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4654 | Dis Loss (Avg): 0.5344 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4730 | Dis Loss (Avg): 0.5304 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4785 | Dis Loss (Avg): 0.5266 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4765 | Dis Loss (Avg): 0.5251 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 0.65 min
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4663 | Dis Loss (Avg): 0.5291 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4584 | Dis Loss (Avg): 0.5328 | Real Acc: 100.00% | Fake Acc: 37.50%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4546 | Dis Loss (Avg): 0.5335 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4568 | Dis Loss (Avg): 0.5323 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4576 | Dis Loss (Avg): 0.5299 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4493 | Dis Loss (Avg): 0.5316 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4416 | Dis Loss (Avg): 0.5373 | Real Acc: 100.00% | Fake Acc: 25.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4426 | Dis Loss (Avg): 0.5405 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4368 | Dis Loss (Avg): 0.5439 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4291 | Dis Loss (Avg): 0.5473 | Real Acc: 93.75% | Fake Acc: 25.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4305 | Dis Loss (Avg): 0.5484 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4230 | Dis Loss (Avg): 0.5613 | Real Acc: 87.50% | Fake Acc: 37.50%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4197 | Dis Loss (Avg): 0.5620 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4139 | Dis Loss (Avg): 0.5600 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4193 | Dis Loss (Avg): 0.5581 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4388 | Dis Loss (Avg): 0.5537 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.72 min
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4448 | Dis Loss (Avg): 0.5519 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4364 | Dis Loss (Avg): 0.5902 | Real Acc: 81.25% | Fake Acc: 18.75%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4329 | Dis Loss (Avg): 0.5901 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4377 | Dis Loss (Avg): 0.5870 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4446 | Dis Loss (Avg): 0.5873 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4527 | Dis Loss (Avg): 0.5826 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4611 | Dis Loss (Avg): 0.5782 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4551 | Dis Loss (Avg): 0.5991 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.5987 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4441 | Dis Loss (Avg): 0.5995 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4369 | Dis Loss (Avg): 0.5972 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4329 | Dis Loss (Avg): 0.5950 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4337 | Dis Loss (Avg): 0.5918 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4385 | Dis Loss (Avg): 0.5875 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4463 | Dis Loss (Avg): 0.5827 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4447 | Dis Loss (Avg): 0.5809 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 0.79 min
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4431 | Dis Loss (Avg): 0.5792 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4350 | Dis Loss (Avg): 0.5956 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4304 | Dis Loss (Avg): 0.5962 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4299 | Dis Loss (Avg): 0.5932 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4330 | Dis Loss (Avg): 0.5892 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4314 | Dis Loss (Avg): 0.6002 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4307 | Dis Loss (Avg): 0.5961 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4332 | Dis Loss (Avg): 0.5919 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4385 | Dis Loss (Avg): 0.5872 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4391 | Dis Loss (Avg): 0.5853 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4385 | Dis Loss (Avg): 0.5812 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4386 | Dis Loss (Avg): 0.5773 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4402 | Dis Loss (Avg): 0.5733 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4435 | Dis Loss (Avg): 0.5693 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4397 | Dis Loss (Avg): 0.5704 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4359 | Dis Loss (Avg): 0.5673 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.86 min
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4349 | Dis Loss (Avg): 0.5643 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4340 | Dis Loss (Avg): 0.5641 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4350 | Dis Loss (Avg): 0.5608 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4379 | Dis Loss (Avg): 0.5573 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4427 | Dis Loss (Avg): 0.5536 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4492 | Dis Loss (Avg): 0.5500 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4437 | Dis Loss (Avg): 0.5648 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4313 | Dis Loss (Avg): 0.5749 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4202 | Dis Loss (Avg): 0.5797 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4144 | Dis Loss (Avg): 0.5815 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4111 | Dis Loss (Avg): 0.5791 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4149 | Dis Loss (Avg): 0.5761 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4153 | Dis Loss (Avg): 0.5826 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4194 | Dis Loss (Avg): 0.5799 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4271 | Dis Loss (Avg): 0.5764 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4375 | Dis Loss (Avg): 0.5718 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.93 min
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4373 | Dis Loss (Avg): 0.6093 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4300 | Dis Loss (Avg): 0.6202 | Real Acc: 93.75% | Fake Acc: 75.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4312 | Dis Loss (Avg): 0.6203 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4416 | Dis Loss (Avg): 0.6166 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4407 | Dis Loss (Avg): 0.6314 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4402 | Dis Loss (Avg): 0.6296 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4454 | Dis Loss (Avg): 0.6266 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4439 | Dis Loss (Avg): 0.6348 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4350 | Dis Loss (Avg): 0.6415 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4302 | Dis Loss (Avg): 0.6407 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4321 | Dis Loss (Avg): 0.6369 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4395 | Dis Loss (Avg): 0.6318 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.6261 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4623 | Dis Loss (Avg): 0.6204 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4630 | Dis Loss (Avg): 0.6219 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4548 | Dis Loss (Avg): 0.6186 | Real Acc: 93.75% | Fake Acc: 18.75%
Time elapsed: 1.00 min
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4461 | Dis Loss (Avg): 0.6176 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4398 | Dis Loss (Avg): 0.6164 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4346 | Dis Loss (Avg): 0.6147 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4318 | Dis Loss (Avg): 0.6114 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4323 | Dis Loss (Avg): 0.6073 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4361 | Dis Loss (Avg): 0.6027 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4359 | Dis Loss (Avg): 0.6037 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4352 | Dis Loss (Avg): 0.5993 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4358 | Dis Loss (Avg): 0.5951 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4378 | Dis Loss (Avg): 0.5909 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4411 | Dis Loss (Avg): 0.5866 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4399 | Dis Loss (Avg): 0.5984 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4384 | Dis Loss (Avg): 0.5954 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4380 | Dis Loss (Avg): 0.5928 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4387 | Dis Loss (Avg): 0.5897 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4342 | Dis Loss (Avg): 0.5974 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 1.06 min
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4263 | Dis Loss (Avg): 0.6001 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4222 | Dis Loss (Avg): 0.5987 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4233 | Dis Loss (Avg): 0.5956 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4289 | Dis Loss (Avg): 0.5912 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4369 | Dis Loss (Avg): 0.5863 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4439 | Dis Loss (Avg): 0.5815 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4495 | Dis Loss (Avg): 0.5769 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4557 | Dis Loss (Avg): 0.5724 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4627 | Dis Loss (Avg): 0.5679 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4622 | Dis Loss (Avg): 0.5663 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4624 | Dis Loss (Avg): 0.5649 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4564 | Dis Loss (Avg): 0.5876 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4555 | Dis Loss (Avg): 0.5872 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4533 | Dis Loss (Avg): 0.5842 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4543 | Dis Loss (Avg): 0.5810 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4523 | Dis Loss (Avg): 0.5856 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 1.13 min
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4449 | Dis Loss (Avg): 0.5850 | Real Acc: 93.75% | Fake Acc: 50.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4413 | Dis Loss (Avg): 0.5844 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4436 | Dis Loss (Avg): 0.5818 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4467 | Dis Loss (Avg): 0.5821 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4519 | Dis Loss (Avg): 0.5775 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4509 | Dis Loss (Avg): 0.5816 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4501 | Dis Loss (Avg): 0.5781 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4457 | Dis Loss (Avg): 0.5751 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4433 | Dis Loss (Avg): 0.5728 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4380 | Dis Loss (Avg): 0.5761 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4362 | Dis Loss (Avg): 0.5742 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4375 | Dis Loss (Avg): 0.5709 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4352 | Dis Loss (Avg): 0.5693 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4327 | Dis Loss (Avg): 0.5660 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4326 | Dis Loss (Avg): 0.5625 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4353 | Dis Loss (Avg): 0.5585 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.21 min
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4405 | Dis Loss (Avg): 0.5541 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4474 | Dis Loss (Avg): 0.5495 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4545 | Dis Loss (Avg): 0.5449 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4526 | Dis Loss (Avg): 0.5520 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4484 | Dis Loss (Avg): 0.5496 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4458 | Dis Loss (Avg): 0.5479 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4459 | Dis Loss (Avg): 0.5454 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4451 | Dis Loss (Avg): 0.5495 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4456 | Dis Loss (Avg): 0.5464 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.5432 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4457 | Dis Loss (Avg): 0.5482 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4382 | Dis Loss (Avg): 0.5499 | Real Acc: 93.75% | Fake Acc: 50.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4358 | Dis Loss (Avg): 0.5491 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4391 | Dis Loss (Avg): 0.5460 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4477 | Dis Loss (Avg): 0.5418 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4595 | Dis Loss (Avg): 0.5372 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.28 min
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4618 | Dis Loss (Avg): 0.5523 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4610 | Dis Loss (Avg): 0.5487 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4544 | Dis Loss (Avg): 0.5615 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4491 | Dis Loss (Avg): 0.5601 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4471 | Dis Loss (Avg): 0.5579 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4486 | Dis Loss (Avg): 0.5545 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4530 | Dis Loss (Avg): 0.5503 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4511 | Dis Loss (Avg): 0.5550 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4471 | Dis Loss (Avg): 0.5519 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4442 | Dis Loss (Avg): 0.5492 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4432 | Dis Loss (Avg): 0.5460 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4443 | Dis Loss (Avg): 0.5423 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4476 | Dis Loss (Avg): 0.5384 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4524 | Dis Loss (Avg): 0.5342 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4521 | Dis Loss (Avg): 0.5392 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4487 | Dis Loss (Avg): 0.5359 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:30:57,526] Trial 0 finished with value: 0.5359116051540715 and parameters: {'latent_dim': 176, 'lr_gen': 0.0001836872559754816, 'lr_discr': 0.0010086100436401011, 'batch_size': 40, 'num_epochs': 19}. Best is trial 0 with value: 0.5359116051540715.
Time elapsed: 1.35 min
Total Training Time: 1.35 min
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0097 | Dis Loss (Avg): 0.0070 | Real Acc: 0.00% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0153 | Dis Loss (Avg): 0.0331 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0403 | Dis Loss (Avg): 0.0580 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0474 | Dis Loss (Avg): 0.0919 | Real Acc: 37.50% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0719 | Dis Loss (Avg): 0.1053 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0766 | Dis Loss (Avg): 0.1265 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0879 | Dis Loss (Avg): 0.1401 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.1048 | Dis Loss (Avg): 0.1491 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.1147 | Dis Loss (Avg): 0.1649 | Real Acc: 43.75% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.1768 | Dis Loss (Avg): 0.1792 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2306 | Dis Loss (Avg): 0.1786 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2673 | Dis Loss (Avg): 0.1788 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2795 | Dis Loss (Avg): 0.1822 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2799 | Dis Loss (Avg): 0.1895 | Real Acc: 62.50% | Fake Acc: 0.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2970 | Dis Loss (Avg): 0.2059 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.3406 | Dis Loss (Avg): 0.2130 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.07 min
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3515 | Dis Loss (Avg): 0.2293 | Real Acc: 31.25% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3594 | Dis Loss (Avg): 0.2348 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3879 | Dis Loss (Avg): 0.2378 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3962 | Dis Loss (Avg): 0.2515 | Real Acc: 50.00% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4131 | Dis Loss (Avg): 0.2541 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4195 | Dis Loss (Avg): 0.2577 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4292 | Dis Loss (Avg): 0.2609 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4361 | Dis Loss (Avg): 0.2875 | Real Acc: 43.75% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4446 | Dis Loss (Avg): 0.2895 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4467 | Dis Loss (Avg): 0.2938 | Real Acc: 68.75% | Fake Acc: 37.50%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4537 | Dis Loss (Avg): 0.2970 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4584 | Dis Loss (Avg): 0.2984 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4570 | Dis Loss (Avg): 0.3004 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4609 | Dis Loss (Avg): 0.3054 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4801 | Dis Loss (Avg): 0.3060 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4841 | Dis Loss (Avg): 0.3550 | Real Acc: 43.75% | Fake Acc: 100.00%
Time elapsed: 0.14 min
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4889 | Dis Loss (Avg): 0.3555 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4874 | Dis Loss (Avg): 0.3607 | Real Acc: 62.50% | Fake Acc: 0.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4891 | Dis Loss (Avg): 0.3640 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4981 | Dis Loss (Avg): 0.3647 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5032 | Dis Loss (Avg): 0.3737 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5035 | Dis Loss (Avg): 0.3739 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5059 | Dis Loss (Avg): 0.3757 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5135 | Dis Loss (Avg): 0.3760 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5145 | Dis Loss (Avg): 0.3835 | Real Acc: 68.75% | Fake Acc: 6.25%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5185 | Dis Loss (Avg): 0.3843 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5169 | Dis Loss (Avg): 0.3884 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5213 | Dis Loss (Avg): 0.3924 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5304 | Dis Loss (Avg): 0.3927 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5280 | Dis Loss (Avg): 0.4015 | Real Acc: 62.50% | Fake Acc: 0.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5351 | Dis Loss (Avg): 0.4041 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5555 | Dis Loss (Avg): 0.4036 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.20 min
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5579 | Dis Loss (Avg): 0.4493 | Real Acc: 50.00% | Fake Acc: 93.75%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5580 | Dis Loss (Avg): 0.4652 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5648 | Dis Loss (Avg): 0.4654 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5724 | Dis Loss (Avg): 0.4648 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5817 | Dis Loss (Avg): 0.4669 | Real Acc: 56.25% | Fake Acc: 75.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5861 | Dis Loss (Avg): 0.4677 | Real Acc: 100.00% | Fake Acc: 50.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5935 | Dis Loss (Avg): 0.4689 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5942 | Dis Loss (Avg): 0.4721 | Real Acc: 75.00% | Fake Acc: 25.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5991 | Dis Loss (Avg): 0.4724 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6026 | Dis Loss (Avg): 0.4727 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6007 | Dis Loss (Avg): 0.4802 | Real Acc: 50.00% | Fake Acc: 12.50%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6040 | Dis Loss (Avg): 0.4821 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6159 | Dis Loss (Avg): 0.4817 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6173 | Dis Loss (Avg): 0.5019 | Real Acc: 37.50% | Fake Acc: 62.50%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6146 | Dis Loss (Avg): 0.5039 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6194 | Dis Loss (Avg): 0.5063 | Real Acc: 100.00% | Fake Acc: 93.75%
Time elapsed: 0.27 min
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6293 | Dis Loss (Avg): 0.5077 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6296 | Dis Loss (Avg): 0.5461 | Real Acc: 37.50% | Fake Acc: 25.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6310 | Dis Loss (Avg): 0.5509 | Real Acc: 81.25% | Fake Acc: 50.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6435 | Dis Loss (Avg): 0.5495 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6439 | Dis Loss (Avg): 0.5509 | Real Acc: 75.00% | Fake Acc: 37.50%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6461 | Dis Loss (Avg): 0.5501 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6456 | Dis Loss (Avg): 0.5538 | Real Acc: 81.25% | Fake Acc: 25.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6457 | Dis Loss (Avg): 0.5564 | Real Acc: 87.50% | Fake Acc: 43.75%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6536 | Dis Loss (Avg): 0.5559 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6535 | Dis Loss (Avg): 0.5614 | Real Acc: 50.00% | Fake Acc: 56.25%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6578 | Dis Loss (Avg): 0.5616 | Real Acc: 93.75% | Fake Acc: 68.75%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6577 | Dis Loss (Avg): 0.5632 | Real Acc: 87.50% | Fake Acc: 31.25%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6627 | Dis Loss (Avg): 0.5625 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6617 | Dis Loss (Avg): 0.5702 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6653 | Dis Loss (Avg): 0.5702 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6639 | Dis Loss (Avg): 0.5692 | Real Acc: 81.25% | Fake Acc: 12.50%
Time elapsed: 0.34 min
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6662 | Dis Loss (Avg): 0.5697 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6679 | Dis Loss (Avg): 0.5734 | Real Acc: 75.00% | Fake Acc: 81.25%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6650 | Dis Loss (Avg): 0.5730 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6687 | Dis Loss (Avg): 0.5736 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6756 | Dis Loss (Avg): 0.5728 | Real Acc: 93.75% | Fake Acc: 31.25%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6800 | Dis Loss (Avg): 0.5724 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6797 | Dis Loss (Avg): 0.5883 | Real Acc: 50.00% | Fake Acc: 37.50%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6849 | Dis Loss (Avg): 0.5868 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6843 | Dis Loss (Avg): 0.5858 | Real Acc: 81.25% | Fake Acc: 25.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6907 | Dis Loss (Avg): 0.5855 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6955 | Dis Loss (Avg): 0.5840 | Real Acc: 93.75% | Fake Acc: 68.75%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6922 | Dis Loss (Avg): 0.5855 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6923 | Dis Loss (Avg): 0.5870 | Real Acc: 93.75% | Fake Acc: 50.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.7051 | Dis Loss (Avg): 0.5858 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.7068 | Dis Loss (Avg): 0.6058 | Real Acc: 31.25% | Fake Acc: 87.50%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.7021 | Dis Loss (Avg): 0.6064 | Real Acc: 68.75% | Fake Acc: 0.00%
Time elapsed: 0.41 min
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7052 | Dis Loss (Avg): 0.6111 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7213 | Dis Loss (Avg): 0.6122 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7218 | Dis Loss (Avg): 0.6366 | Real Acc: 56.25% | Fake Acc: 43.75%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7205 | Dis Loss (Avg): 0.6429 | Real Acc: 75.00% | Fake Acc: 25.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7259 | Dis Loss (Avg): 0.6427 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7351 | Dis Loss (Avg): 0.6391 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7324 | Dis Loss (Avg): 0.6379 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7348 | Dis Loss (Avg): 0.6401 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7451 | Dis Loss (Avg): 0.6400 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7451 | Dis Loss (Avg): 0.6730 | Real Acc: 18.75% | Fake Acc: 68.75%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7428 | Dis Loss (Avg): 0.6736 | Real Acc: 81.25% | Fake Acc: 37.50%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7461 | Dis Loss (Avg): 0.6750 | Real Acc: 100.00% | Fake Acc: 31.25%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7447 | Dis Loss (Avg): 0.6833 | Real Acc: 81.25% | Fake Acc: 31.25%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7534 | Dis Loss (Avg): 0.6823 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7547 | Dis Loss (Avg): 0.7030 | Real Acc: 25.00% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7507 | Dis Loss (Avg): 0.7035 | Real Acc: 62.50% | Fake Acc: 0.00%
Time elapsed: 0.48 min
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7498 | Dis Loss (Avg): 0.7037 | Real Acc: 100.00% | Fake Acc: 37.50%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7544 | Dis Loss (Avg): 0.7015 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7546 | Dis Loss (Avg): 0.7031 | Real Acc: 62.50% | Fake Acc: 75.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7560 | Dis Loss (Avg): 0.7003 | Real Acc: 93.75% | Fake Acc: 75.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7602 | Dis Loss (Avg): 0.6971 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7607 | Dis Loss (Avg): 0.6957 | Real Acc: 81.25% | Fake Acc: 93.75%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7637 | Dis Loss (Avg): 0.6924 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7614 | Dis Loss (Avg): 0.6911 | Real Acc: 75.00% | Fake Acc: 31.25%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7624 | Dis Loss (Avg): 0.6912 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7626 | Dis Loss (Avg): 0.6900 | Real Acc: 93.75% | Fake Acc: 43.75%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7642 | Dis Loss (Avg): 0.6875 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7689 | Dis Loss (Avg): 0.6851 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7645 | Dis Loss (Avg): 0.6848 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7646 | Dis Loss (Avg): 0.6848 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7740 | Dis Loss (Avg): 0.6813 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7744 | Dis Loss (Avg): 0.6964 | Real Acc: 50.00% | Fake Acc: 87.50%
Time elapsed: 0.54 min
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7767 | Dis Loss (Avg): 0.6934 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7743 | Dis Loss (Avg): 0.6927 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7811 | Dis Loss (Avg): 0.6909 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7812 | Dis Loss (Avg): 0.6902 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7875 | Dis Loss (Avg): 0.6880 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7893 | Dis Loss (Avg): 0.6928 | Real Acc: 56.25% | Fake Acc: 93.75%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7861 | Dis Loss (Avg): 0.6943 | Real Acc: 62.50% | Fake Acc: 6.25%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7892 | Dis Loss (Avg): 0.6950 | Real Acc: 100.00% | Fake Acc: 68.75%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7890 | Dis Loss (Avg): 0.6955 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7883 | Dis Loss (Avg): 0.6973 | Real Acc: 62.50% | Fake Acc: 25.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7908 | Dis Loss (Avg): 0.6954 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7957 | Dis Loss (Avg): 0.6920 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7941 | Dis Loss (Avg): 0.6912 | Real Acc: 62.50% | Fake Acc: 31.25%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7958 | Dis Loss (Avg): 0.6885 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7932 | Dis Loss (Avg): 0.6874 | Real Acc: 75.00% | Fake Acc: 31.25%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7928 | Dis Loss (Avg): 0.6863 | Real Acc: 100.00% | Fake Acc: 75.00%
Time elapsed: 0.61 min
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7964 | Dis Loss (Avg): 0.6839 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7960 | Dis Loss (Avg): 0.6905 | Real Acc: 37.50% | Fake Acc: 81.25%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7937 | Dis Loss (Avg): 0.6875 | Real Acc: 87.50% | Fake Acc: 12.50%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7935 | Dis Loss (Avg): 0.6865 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7921 | Dis Loss (Avg): 0.6839 | Real Acc: 93.75% | Fake Acc: 43.75%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7960 | Dis Loss (Avg): 0.6819 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7941 | Dis Loss (Avg): 0.6904 | Real Acc: 50.00% | Fake Acc: 31.25%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7894 | Dis Loss (Avg): 0.6884 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7902 | Dis Loss (Avg): 0.6886 | Real Acc: 100.00% | Fake Acc: 50.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7970 | Dis Loss (Avg): 0.6864 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7961 | Dis Loss (Avg): 0.6919 | Real Acc: 43.75% | Fake Acc: 50.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7941 | Dis Loss (Avg): 0.6896 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7954 | Dis Loss (Avg): 0.6875 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7932 | Dis Loss (Avg): 0.6871 | Real Acc: 75.00% | Fake Acc: 12.50%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7949 | Dis Loss (Avg): 0.6846 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7936 | Dis Loss (Avg): 0.6817 | Real Acc: 87.50% | Fake Acc: 50.00%
Time elapsed: 0.68 min
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7954 | Dis Loss (Avg): 0.6800 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7944 | Dis Loss (Avg): 0.6816 | Real Acc: 62.50% | Fake Acc: 75.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7947 | Dis Loss (Avg): 0.6790 | Real Acc: 100.00% | Fake Acc: 62.50%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7921 | Dis Loss (Avg): 0.6763 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7926 | Dis Loss (Avg): 0.6743 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7994 | Dis Loss (Avg): 0.6710 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7996 | Dis Loss (Avg): 0.6859 | Real Acc: 56.25% | Fake Acc: 87.50%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7980 | Dis Loss (Avg): 0.6834 | Real Acc: 93.75% | Fake Acc: 31.25%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7998 | Dis Loss (Avg): 0.6813 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8072 | Dis Loss (Avg): 0.6786 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8063 | Dis Loss (Avg): 0.6847 | Real Acc: 75.00% | Fake Acc: 87.50%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8017 | Dis Loss (Avg): 0.6844 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7987 | Dis Loss (Avg): 0.6856 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8053 | Dis Loss (Avg): 0.6838 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8046 | Dis Loss (Avg): 0.6875 | Real Acc: 37.50% | Fake Acc: 81.25%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8013 | Dis Loss (Avg): 0.6845 | Real Acc: 93.75% | Fake Acc: 0.00%
Time elapsed: 0.75 min
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8030 | Dis Loss (Avg): 0.6826 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8146 | Dis Loss (Avg): 0.6794 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8152 | Dis Loss (Avg): 0.6856 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8143 | Dis Loss (Avg): 0.6842 | Real Acc: 81.25% | Fake Acc: 50.00%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8199 | Dis Loss (Avg): 0.6830 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8211 | Dis Loss (Avg): 0.6794 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8163 | Dis Loss (Avg): 0.6784 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8155 | Dis Loss (Avg): 0.6778 | Real Acc: 100.00% | Fake Acc: 62.50%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8217 | Dis Loss (Avg): 0.6755 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8209 | Dis Loss (Avg): 0.6768 | Real Acc: 43.75% | Fake Acc: 81.25%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8216 | Dis Loss (Avg): 0.6739 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8236 | Dis Loss (Avg): 0.6707 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8219 | Dis Loss (Avg): 0.6683 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8229 | Dis Loss (Avg): 0.6661 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8218 | Dis Loss (Avg): 0.6639 | Real Acc: 87.50% | Fake Acc: 31.25%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8228 | Dis Loss (Avg): 0.6626 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.82 min
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8232 | Dis Loss (Avg): 0.6597 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8216 | Dis Loss (Avg): 0.6566 | Real Acc: 93.75% | Fake Acc: 25.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8243 | Dis Loss (Avg): 0.6545 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8204 | Dis Loss (Avg): 0.6549 | Real Acc: 75.00% | Fake Acc: 6.25%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8209 | Dis Loss (Avg): 0.6551 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8247 | Dis Loss (Avg): 0.6517 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8212 | Dis Loss (Avg): 0.6525 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8205 | Dis Loss (Avg): 0.6521 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8213 | Dis Loss (Avg): 0.6495 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8175 | Dis Loss (Avg): 0.6479 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8157 | Dis Loss (Avg): 0.6470 | Real Acc: 100.00% | Fake Acc: 12.50%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8177 | Dis Loss (Avg): 0.6445 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8160 | Dis Loss (Avg): 0.6448 | Real Acc: 56.25% | Fake Acc: 12.50%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8157 | Dis Loss (Avg): 0.6425 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8165 | Dis Loss (Avg): 0.6397 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8130 | Dis Loss (Avg): 0.6380 | Real Acc: 81.25% | Fake Acc: 0.00%
Time elapsed: 0.89 min
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8141 | Dis Loss (Avg): 0.6373 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8113 | Dis Loss (Avg): 0.6351 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8122 | Dis Loss (Avg): 0.6339 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8110 | Dis Loss (Avg): 0.6315 | Real Acc: 87.50% | Fake Acc: 43.75%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8111 | Dis Loss (Avg): 0.6299 | Real Acc: 93.75% | Fake Acc: 68.75%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8108 | Dis Loss (Avg): 0.6283 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8103 | Dis Loss (Avg): 0.6260 | Real Acc: 100.00% | Fake Acc: 62.50%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8136 | Dis Loss (Avg): 0.6235 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8141 | Dis Loss (Avg): 0.6214 | Real Acc: 87.50% | Fake Acc: 87.50%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8095 | Dis Loss (Avg): 0.6195 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8090 | Dis Loss (Avg): 0.6201 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8152 | Dis Loss (Avg): 0.6181 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8148 | Dis Loss (Avg): 0.6192 | Real Acc: 56.25% | Fake Acc: 81.25%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8157 | Dis Loss (Avg): 0.6166 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8168 | Dis Loss (Avg): 0.6141 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8115 | Dis Loss (Avg): 0.6121 | Real Acc: 81.25% | Fake Acc: 6.25%
Time elapsed: 0.96 min
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8078 | Dis Loss (Avg): 0.6183 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8108 | Dis Loss (Avg): 0.6183 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8088 | Dis Loss (Avg): 0.6195 | Real Acc: 81.25% | Fake Acc: 31.25%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8108 | Dis Loss (Avg): 0.6181 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8163 | Dis Loss (Avg): 0.6156 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8144 | Dis Loss (Avg): 0.6143 | Real Acc: 81.25% | Fake Acc: 31.25%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8147 | Dis Loss (Avg): 0.6132 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8174 | Dis Loss (Avg): 0.6112 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8160 | Dis Loss (Avg): 0.6094 | Real Acc: 81.25% | Fake Acc: 31.25%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8171 | Dis Loss (Avg): 0.6087 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8140 | Dis Loss (Avg): 0.6094 | Real Acc: 62.50% | Fake Acc: 0.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8152 | Dis Loss (Avg): 0.6084 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8203 | Dis Loss (Avg): 0.6058 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8176 | Dis Loss (Avg): 0.6033 | Real Acc: 87.50% | Fake Acc: 12.50%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8217 | Dis Loss (Avg): 0.6028 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8206 | Dis Loss (Avg): 0.6045 | Real Acc: 50.00% | Fake Acc: 68.75%
Time elapsed: 1.03 min
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8201 | Dis Loss (Avg): 0.6032 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8218 | Dis Loss (Avg): 0.6017 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8275 | Dis Loss (Avg): 0.5984 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8261 | Dis Loss (Avg): 0.6023 | Real Acc: 75.00% | Fake Acc: 75.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8255 | Dis Loss (Avg): 0.6007 | Real Acc: 93.75% | Fake Acc: 75.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8283 | Dis Loss (Avg): 0.5983 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8263 | Dis Loss (Avg): 0.6005 | Real Acc: 62.50% | Fake Acc: 31.25%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8255 | Dis Loss (Avg): 0.5986 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8267 | Dis Loss (Avg): 0.5968 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8257 | Dis Loss (Avg): 0.5980 | Real Acc: 62.50% | Fake Acc: 25.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8261 | Dis Loss (Avg): 0.5959 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8285 | Dis Loss (Avg): 0.5941 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8285 | Dis Loss (Avg): 0.5923 | Real Acc: 75.00% | Fake Acc: 37.50%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8270 | Dis Loss (Avg): 0.5920 | Real Acc: 93.75% | Fake Acc: 68.75%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8281 | Dis Loss (Avg): 0.5903 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8265 | Dis Loss (Avg): 0.5894 | Real Acc: 62.50% | Fake Acc: 31.25%
Time elapsed: 1.09 min
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8297 | Dis Loss (Avg): 0.5884 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8291 | Dis Loss (Avg): 0.5884 | Real Acc: 87.50% | Fake Acc: 87.50%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8292 | Dis Loss (Avg): 0.5903 | Real Acc: 81.25% | Fake Acc: 87.50%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8301 | Dis Loss (Avg): 0.5883 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8334 | Dis Loss (Avg): 0.5865 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8366 | Dis Loss (Avg): 0.5841 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8328 | Dis Loss (Avg): 0.5889 | Real Acc: 56.25% | Fake Acc: 12.50%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8322 | Dis Loss (Avg): 0.5901 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8338 | Dis Loss (Avg): 0.5889 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8317 | Dis Loss (Avg): 0.5912 | Real Acc: 43.75% | Fake Acc: 6.25%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8327 | Dis Loss (Avg): 0.5894 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8317 | Dis Loss (Avg): 0.5880 | Real Acc: 87.50% | Fake Acc: 56.25%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8353 | Dis Loss (Avg): 0.5861 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8326 | Dis Loss (Avg): 0.5844 | Real Acc: 81.25% | Fake Acc: 25.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8313 | Dis Loss (Avg): 0.5845 | Real Acc: 100.00% | Fake Acc: 50.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8342 | Dis Loss (Avg): 0.5844 | Real Acc: 100.00% | Fake Acc: 93.75%
Time elapsed: 1.17 min
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8359 | Dis Loss (Avg): 0.5871 | Real Acc: 87.50% | Fake Acc: 68.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8370 | Dis Loss (Avg): 0.5882 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8467 | Dis Loss (Avg): 0.5883 | Real Acc: 87.50% | Fake Acc: 50.00%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8529 | Dis Loss (Avg): 0.5873 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8544 | Dis Loss (Avg): 0.5855 | Real Acc: 81.25% | Fake Acc: 81.25%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8531 | Dis Loss (Avg): 0.5861 | Real Acc: 81.25% | Fake Acc: 62.50%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8571 | Dis Loss (Avg): 0.5846 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8547 | Dis Loss (Avg): 0.5871 | Real Acc: 62.50% | Fake Acc: 18.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8529 | Dis Loss (Avg): 0.6044 | Real Acc: 100.00% | Fake Acc: 18.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8628 | Dis Loss (Avg): 0.6038 | Real Acc: 100.00% | Fake Acc: 56.25%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8678 | Dis Loss (Avg): 0.6026 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8641 | Dis Loss (Avg): 0.6026 | Real Acc: 62.50% | Fake Acc: 6.25%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8619 | Dis Loss (Avg): 0.6039 | Real Acc: 93.75% | Fake Acc: 25.00%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8676 | Dis Loss (Avg): 0.6026 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:32:12,307] Trial 1 finished with value: 0.6037378536689132 and parameters: {'latent_dim': 142, 'lr_gen': 0.0031240825509457324, 'lr_discr': 0.0006767615263879749, 'batch_size': 41, 'num_epochs': 18}. Best is trial 0 with value: 0.5359116051540715.
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8682 | Dis Loss (Avg): 0.6049 | Real Acc: 43.75% | Fake Acc: 81.25%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8699 | Dis Loss (Avg): 0.6037 | Real Acc: 93.75% | Fake Acc: 93.75%
Time elapsed: 1.24 min
Total Training Time: 1.24 min
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0086 | Dis Loss (Avg): 0.0070 | Real Acc: 0.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0144 | Dis Loss (Avg): 0.0182 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0196 | Dis Loss (Avg): 0.0325 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0367 | Dis Loss (Avg): 0.0438 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0453 | Dis Loss (Avg): 0.0554 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0583 | Dis Loss (Avg): 0.0640 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0737 | Dis Loss (Avg): 0.0682 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0830 | Dis Loss (Avg): 0.0720 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0886 | Dis Loss (Avg): 0.0761 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0965 | Dis Loss (Avg): 0.0796 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1052 | Dis Loss (Avg): 0.0827 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1143 | Dis Loss (Avg): 0.0857 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1221 | Dis Loss (Avg): 0.0886 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1279 | Dis Loss (Avg): 0.0920 | Real Acc: 100.00% | Fake Acc: 68.75%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1361 | Dis Loss (Avg): 0.0967 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1403 | Dis Loss (Avg): 0.1047 | Real Acc: 56.25% | Fake Acc: 0.00%
Time elapsed: 0.07 min
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1490 | Dis Loss (Avg): 0.1117 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1694 | Dis Loss (Avg): 0.1150 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1833 | Dis Loss (Avg): 0.1165 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1963 | Dis Loss (Avg): 0.1200 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2153 | Dis Loss (Avg): 0.1221 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2201 | Dis Loss (Avg): 0.1299 | Real Acc: 68.75% | Fake Acc: 56.25%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2301 | Dis Loss (Avg): 0.1323 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2377 | Dis Loss (Avg): 0.1351 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2477 | Dis Loss (Avg): 0.1377 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2506 | Dis Loss (Avg): 0.1621 | Real Acc: 31.25% | Fake Acc: 0.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2562 | Dis Loss (Avg): 0.1653 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2657 | Dis Loss (Avg): 0.1679 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2712 | Dis Loss (Avg): 0.1705 | Real Acc: 87.50% | Fake Acc: 87.50%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2767 | Dis Loss (Avg): 0.1728 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2829 | Dis Loss (Avg): 0.1753 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2859 | Dis Loss (Avg): 0.1783 | Real Acc: 81.25% | Fake Acc: 0.00%
Time elapsed: 0.14 min
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.2921 | Dis Loss (Avg): 0.1810 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3002 | Dis Loss (Avg): 0.1830 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3034 | Dis Loss (Avg): 0.1850 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3078 | Dis Loss (Avg): 0.1881 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3147 | Dis Loss (Avg): 0.1903 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3223 | Dis Loss (Avg): 0.1915 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3219 | Dis Loss (Avg): 0.1939 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3223 | Dis Loss (Avg): 0.2021 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3276 | Dis Loss (Avg): 0.2075 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3305 | Dis Loss (Avg): 0.2098 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3374 | Dis Loss (Avg): 0.2124 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3401 | Dis Loss (Avg): 0.2140 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3474 | Dis Loss (Avg): 0.2166 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3503 | Dis Loss (Avg): 0.2191 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3594 | Dis Loss (Avg): 0.2215 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3610 | Dis Loss (Avg): 0.2332 | Real Acc: 56.25% | Fake Acc: 0.00%
Time elapsed: 0.20 min
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3665 | Dis Loss (Avg): 0.2362 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3683 | Dis Loss (Avg): 0.2389 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3741 | Dis Loss (Avg): 0.2412 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3765 | Dis Loss (Avg): 0.2429 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3818 | Dis Loss (Avg): 0.2447 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3898 | Dis Loss (Avg): 0.2453 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3919 | Dis Loss (Avg): 0.2538 | Real Acc: 62.50% | Fake Acc: 0.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3959 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4037 | Dis Loss (Avg): 0.2569 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4051 | Dis Loss (Avg): 0.2628 | Real Acc: 62.50% | Fake Acc: 6.25%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4081 | Dis Loss (Avg): 0.2656 | Real Acc: 100.00% | Fake Acc: 68.75%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4141 | Dis Loss (Avg): 0.2667 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4167 | Dis Loss (Avg): 0.2693 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4200 | Dis Loss (Avg): 0.2705 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4241 | Dis Loss (Avg): 0.2715 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4242 | Dis Loss (Avg): 0.2724 | Real Acc: 93.75% | Fake Acc: 0.00%
Time elapsed: 0.27 min
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4282 | Dis Loss (Avg): 0.2761 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4374 | Dis Loss (Avg): 0.2768 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4401 | Dis Loss (Avg): 0.2832 | Real Acc: 68.75% | Fake Acc: 68.75%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4429 | Dis Loss (Avg): 0.2843 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4479 | Dis Loss (Avg): 0.2852 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4564 | Dis Loss (Avg): 0.2850 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4604 | Dis Loss (Avg): 0.3014 | Real Acc: 43.75% | Fake Acc: 93.75%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4603 | Dis Loss (Avg): 0.3024 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4603 | Dis Loss (Avg): 0.3058 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4629 | Dis Loss (Avg): 0.3082 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4679 | Dis Loss (Avg): 0.3090 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4687 | Dis Loss (Avg): 0.3177 | Real Acc: 62.50% | Fake Acc: 25.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4720 | Dis Loss (Avg): 0.3206 | Real Acc: 100.00% | Fake Acc: 43.75%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4745 | Dis Loss (Avg): 0.3245 | Real Acc: 87.50% | Fake Acc: 62.50%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4827 | Dis Loss (Avg): 0.3269 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4848 | Dis Loss (Avg): 0.3318 | Real Acc: 68.75% | Fake Acc: 43.75%
Time elapsed: 0.34 min
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4863 | Dis Loss (Avg): 0.3349 | Real Acc: 93.75% | Fake Acc: 31.25%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4938 | Dis Loss (Avg): 0.3371 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4949 | Dis Loss (Avg): 0.3448 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4961 | Dis Loss (Avg): 0.3481 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5024 | Dis Loss (Avg): 0.3488 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5043 | Dis Loss (Avg): 0.3560 | Real Acc: 68.75% | Fake Acc: 62.50%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5055 | Dis Loss (Avg): 0.3569 | Real Acc: 100.00% | Fake Acc: 37.50%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5091 | Dis Loss (Avg): 0.3585 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5113 | Dis Loss (Avg): 0.3609 | Real Acc: 75.00% | Fake Acc: 37.50%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5158 | Dis Loss (Avg): 0.3623 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5195 | Dis Loss (Avg): 0.3629 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5197 | Dis Loss (Avg): 0.3637 | Real Acc: 81.25% | Fake Acc: 6.25%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5225 | Dis Loss (Avg): 0.3659 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5326 | Dis Loss (Avg): 0.3662 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5367 | Dis Loss (Avg): 0.3876 | Real Acc: 25.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5351 | Dis Loss (Avg): 0.3966 | Real Acc: 50.00% | Fake Acc: 0.00%
Time elapsed: 0.41 min
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5375 | Dis Loss (Avg): 0.3984 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5542 | Dis Loss (Avg): 0.3981 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5577 | Dis Loss (Avg): 0.3997 | Real Acc: 62.50% | Fake Acc: 62.50%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5552 | Dis Loss (Avg): 0.4027 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5561 | Dis Loss (Avg): 0.4076 | Real Acc: 100.00% | Fake Acc: 6.25%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5632 | Dis Loss (Avg): 0.4078 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5665 | Dis Loss (Avg): 0.4147 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5664 | Dis Loss (Avg): 0.4143 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5668 | Dis Loss (Avg): 0.4154 | Real Acc: 100.00% | Fake Acc: 18.75%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5706 | Dis Loss (Avg): 0.4158 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5708 | Dis Loss (Avg): 0.4177 | Real Acc: 75.00% | Fake Acc: 25.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5714 | Dis Loss (Avg): 0.4199 | Real Acc: 93.75% | Fake Acc: 31.25%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5747 | Dis Loss (Avg): 0.4202 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5749 | Dis Loss (Avg): 0.4219 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5759 | Dis Loss (Avg): 0.4225 | Real Acc: 100.00% | Fake Acc: 31.25%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5799 | Dis Loss (Avg): 0.4223 | Real Acc: 100.00% | Fake Acc: 93.75%
Time elapsed: 0.48 min
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5811 | Dis Loss (Avg): 0.4246 | Real Acc: 68.75% | Fake Acc: 43.75%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5833 | Dis Loss (Avg): 0.4244 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5892 | Dis Loss (Avg): 0.4237 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5905 | Dis Loss (Avg): 0.4253 | Real Acc: 62.50% | Fake Acc: 31.25%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5934 | Dis Loss (Avg): 0.4258 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5936 | Dis Loss (Avg): 0.4255 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5963 | Dis Loss (Avg): 0.4258 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5975 | Dis Loss (Avg): 0.4257 | Real Acc: 93.75% | Fake Acc: 62.50%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5999 | Dis Loss (Avg): 0.4253 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5973 | Dis Loss (Avg): 0.4251 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5974 | Dis Loss (Avg): 0.4275 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6036 | Dis Loss (Avg): 0.4276 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6059 | Dis Loss (Avg): 0.4339 | Real Acc: 50.00% | Fake Acc: 87.50%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6046 | Dis Loss (Avg): 0.4341 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6051 | Dis Loss (Avg): 0.4351 | Real Acc: 100.00% | Fake Acc: 50.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6104 | Dis Loss (Avg): 0.4354 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.55 min
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6118 | Dis Loss (Avg): 0.4375 | Real Acc: 75.00% | Fake Acc: 87.50%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6123 | Dis Loss (Avg): 0.4378 | Real Acc: 93.75% | Fake Acc: 43.75%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6148 | Dis Loss (Avg): 0.4408 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6194 | Dis Loss (Avg): 0.4399 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6239 | Dis Loss (Avg): 0.4396 | Real Acc: 87.50% | Fake Acc: 81.25%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6283 | Dis Loss (Avg): 0.4387 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6278 | Dis Loss (Avg): 0.4414 | Real Acc: 75.00% | Fake Acc: 12.50%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6293 | Dis Loss (Avg): 0.4418 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6352 | Dis Loss (Avg): 0.4415 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6354 | Dis Loss (Avg): 0.4453 | Real Acc: 68.75% | Fake Acc: 12.50%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6354 | Dis Loss (Avg): 0.4457 | Real Acc: 93.75% | Fake Acc: 37.50%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6380 | Dis Loss (Avg): 0.4500 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6384 | Dis Loss (Avg): 0.4503 | Real Acc: 93.75% | Fake Acc: 37.50%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6418 | Dis Loss (Avg): 0.4503 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6420 | Dis Loss (Avg): 0.4498 | Real Acc: 93.75% | Fake Acc: 31.25%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6423 | Dis Loss (Avg): 0.4511 | Real Acc: 93.75% | Fake Acc: 31.25%
Time elapsed: 0.62 min
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6469 | Dis Loss (Avg): 0.4517 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6456 | Dis Loss (Avg): 0.4514 | Real Acc: 81.25% | Fake Acc: 6.25%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6484 | Dis Loss (Avg): 0.4527 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6467 | Dis Loss (Avg): 0.4533 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6516 | Dis Loss (Avg): 0.4542 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6602 | Dis Loss (Avg): 0.4528 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6578 | Dis Loss (Avg): 0.4556 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6593 | Dis Loss (Avg): 0.4571 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6682 | Dis Loss (Avg): 0.4571 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6679 | Dis Loss (Avg): 0.4704 | Real Acc: 43.75% | Fake Acc: 37.50%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6680 | Dis Loss (Avg): 0.4748 | Real Acc: 93.75% | Fake Acc: 43.75%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6720 | Dis Loss (Avg): 0.4797 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6833 | Dis Loss (Avg): 0.4817 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6852 | Dis Loss (Avg): 0.4831 | Real Acc: 87.50% | Fake Acc: 56.25%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6853 | Dis Loss (Avg): 0.4848 | Real Acc: 100.00% | Fake Acc: 50.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6936 | Dis Loss (Avg): 0.4850 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 0.68 min
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.6935 | Dis Loss (Avg): 0.4909 | Real Acc: 56.25% | Fake Acc: 56.25%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.6924 | Dis Loss (Avg): 0.4982 | Real Acc: 75.00% | Fake Acc: 31.25%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.6946 | Dis Loss (Avg): 0.5022 | Real Acc: 100.00% | Fake Acc: 56.25%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7073 | Dis Loss (Avg): 0.5029 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7100 | Dis Loss (Avg): 0.5110 | Real Acc: 75.00% | Fake Acc: 37.50%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7171 | Dis Loss (Avg): 0.5103 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7191 | Dis Loss (Avg): 0.5192 | Real Acc: 56.25% | Fake Acc: 93.75%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7156 | Dis Loss (Avg): 0.5190 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7144 | Dis Loss (Avg): 0.5216 | Real Acc: 100.00% | Fake Acc: 6.25%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7193 | Dis Loss (Avg): 0.5222 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7195 | Dis Loss (Avg): 0.5224 | Real Acc: 81.25% | Fake Acc: 62.50%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7297 | Dis Loss (Avg): 0.5225 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7314 | Dis Loss (Avg): 0.5223 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7301 | Dis Loss (Avg): 0.5208 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7332 | Dis Loss (Avg): 0.5211 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7312 | Dis Loss (Avg): 0.5259 | Real Acc: 68.75% | Fake Acc: 6.25%
Time elapsed: 0.75 min
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7331 | Dis Loss (Avg): 0.5253 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7305 | Dis Loss (Avg): 0.5265 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7321 | Dis Loss (Avg): 0.5268 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7364 | Dis Loss (Avg): 0.5261 | Real Acc: 87.50% | Fake Acc: 87.50%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7376 | Dis Loss (Avg): 0.5258 | Real Acc: 81.25% | Fake Acc: 81.25%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7399 | Dis Loss (Avg): 0.5269 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7372 | Dis Loss (Avg): 0.5285 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7402 | Dis Loss (Avg): 0.5296 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7459 | Dis Loss (Avg): 0.5288 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7441 | Dis Loss (Avg): 0.5323 | Real Acc: 43.75% | Fake Acc: 31.25%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7448 | Dis Loss (Avg): 0.5340 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7460 | Dis Loss (Avg): 0.5350 | Real Acc: 87.50% | Fake Acc: 56.25%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7460 | Dis Loss (Avg): 0.5364 | Real Acc: 75.00% | Fake Acc: 62.50%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7496 | Dis Loss (Avg): 0.5416 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7501 | Dis Loss (Avg): 0.5446 | Real Acc: 81.25% | Fake Acc: 43.75%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7504 | Dis Loss (Avg): 0.5466 | Real Acc: 87.50% | Fake Acc: 68.75%
Time elapsed: 0.82 min
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7495 | Dis Loss (Avg): 0.5531 | Real Acc: 75.00% | Fake Acc: 31.25%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7465 | Dis Loss (Avg): 0.5543 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7506 | Dis Loss (Avg): 0.5544 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7558 | Dis Loss (Avg): 0.5537 | Real Acc: 75.00% | Fake Acc: 62.50%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7577 | Dis Loss (Avg): 0.5564 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7590 | Dis Loss (Avg): 0.5557 | Real Acc: 81.25% | Fake Acc: 93.75%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7737 | Dis Loss (Avg): 0.5545 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7803 | Dis Loss (Avg): 0.5542 | Real Acc: 68.75% | Fake Acc: 12.50%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7812 | Dis Loss (Avg): 0.5588 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8005 | Dis Loss (Avg): 0.5568 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8056 | Dis Loss (Avg): 0.5658 | Real Acc: 50.00% | Fake Acc: 93.75%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7999 | Dis Loss (Avg): 0.5653 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7944 | Dis Loss (Avg): 0.5730 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7926 | Dis Loss (Avg): 0.5756 | Real Acc: 100.00% | Fake Acc: 12.50%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8044 | Dis Loss (Avg): 0.5742 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8066 | Dis Loss (Avg): 0.5901 | Real Acc: 43.75% | Fake Acc: 100.00%
Time elapsed: 0.89 min
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8024 | Dis Loss (Avg): 0.5899 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8010 | Dis Loss (Avg): 0.5908 | Real Acc: 100.00% | Fake Acc: 37.50%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8075 | Dis Loss (Avg): 0.5903 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8099 | Dis Loss (Avg): 0.5941 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8082 | Dis Loss (Avg): 0.5956 | Real Acc: 68.75% | Fake Acc: 43.75%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8094 | Dis Loss (Avg): 0.5979 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8105 | Dis Loss (Avg): 0.5976 | Real Acc: 100.00% | Fake Acc: 68.75%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8112 | Dis Loss (Avg): 0.5971 | Real Acc: 93.75% | Fake Acc: 68.75%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8149 | Dis Loss (Avg): 0.5964 | Real Acc: 100.00% | Fake Acc: 68.75%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8169 | Dis Loss (Avg): 0.6009 | Real Acc: 93.75% | Fake Acc: 75.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8221 | Dis Loss (Avg): 0.6070 | Real Acc: 93.75% | Fake Acc: 81.25%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8243 | Dis Loss (Avg): 0.6070 | Real Acc: 93.75% | Fake Acc: 62.50%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8256 | Dis Loss (Avg): 0.6081 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8243 | Dis Loss (Avg): 0.6105 | Real Acc: 68.75% | Fake Acc: 43.75%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8212 | Dis Loss (Avg): 0.6096 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8238 | Dis Loss (Avg): 0.6093 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.95 min
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8303 | Dis Loss (Avg): 0.6064 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8296 | Dis Loss (Avg): 0.6132 | Real Acc: 37.50% | Fake Acc: 62.50%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8270 | Dis Loss (Avg): 0.6180 | Real Acc: 93.75% | Fake Acc: 25.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8293 | Dis Loss (Avg): 0.6199 | Real Acc: 100.00% | Fake Acc: 43.75%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8302 | Dis Loss (Avg): 0.6200 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8395 | Dis Loss (Avg): 0.6184 | Real Acc: 87.50% | Fake Acc: 87.50%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8353 | Dis Loss (Avg): 0.6206 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8338 | Dis Loss (Avg): 0.6215 | Real Acc: 100.00% | Fake Acc: 50.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8325 | Dis Loss (Avg): 0.6214 | Real Acc: 93.75% | Fake Acc: 37.50%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8346 | Dis Loss (Avg): 0.6208 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8339 | Dis Loss (Avg): 0.6223 | Real Acc: 62.50% | Fake Acc: 31.25%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8336 | Dis Loss (Avg): 0.6218 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8385 | Dis Loss (Avg): 0.6215 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8379 | Dis Loss (Avg): 0.6248 | Real Acc: 56.25% | Fake Acc: 87.50%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8326 | Dis Loss (Avg): 0.6236 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8304 | Dis Loss (Avg): 0.6239 | Real Acc: 100.00% | Fake Acc: 25.00%
Time elapsed: 1.02 min
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8369 | Dis Loss (Avg): 0.6232 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8373 | Dis Loss (Avg): 0.6265 | Real Acc: 56.25% | Fake Acc: 87.50%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8329 | Dis Loss (Avg): 0.6250 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8306 | Dis Loss (Avg): 0.6253 | Real Acc: 100.00% | Fake Acc: 31.25%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8328 | Dis Loss (Avg): 0.6247 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8329 | Dis Loss (Avg): 0.6244 | Real Acc: 75.00% | Fake Acc: 68.75%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8303 | Dis Loss (Avg): 0.6223 | Real Acc: 93.75% | Fake Acc: 37.50%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8305 | Dis Loss (Avg): 0.6220 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8315 | Dis Loss (Avg): 0.6201 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8347 | Dis Loss (Avg): 0.6190 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8314 | Dis Loss (Avg): 0.6188 | Real Acc: 56.25% | Fake Acc: 6.25%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8299 | Dis Loss (Avg): 0.6188 | Real Acc: 93.75% | Fake Acc: 37.50%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8369 | Dis Loss (Avg): 0.6171 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8372 | Dis Loss (Avg): 0.6204 | Real Acc: 62.50% | Fake Acc: 87.50%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8321 | Dis Loss (Avg): 0.6197 | Real Acc: 81.25% | Fake Acc: 6.25%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8287 | Dis Loss (Avg): 0.6227 | Real Acc: 100.00% | Fake Acc: 6.25%
Time elapsed: 1.09 min
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8304 | Dis Loss (Avg): 0.6231 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8308 | Dis Loss (Avg): 0.6244 | Real Acc: 75.00% | Fake Acc: 68.75%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8392 | Dis Loss (Avg): 0.6256 | Real Acc: 87.50% | Fake Acc: 31.25%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8367 | Dis Loss (Avg): 0.6315 | Real Acc: 75.00% | Fake Acc: 25.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8374 | Dis Loss (Avg): 0.6318 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8387 | Dis Loss (Avg): 0.6294 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8338 | Dis Loss (Avg): 0.6295 | Real Acc: 62.50% | Fake Acc: 0.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8342 | Dis Loss (Avg): 0.6290 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8404 | Dis Loss (Avg): 0.6278 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8381 | Dis Loss (Avg): 0.6336 | Real Acc: 37.50% | Fake Acc: 25.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8388 | Dis Loss (Avg): 0.6341 | Real Acc: 100.00% | Fake Acc: 37.50%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8396 | Dis Loss (Avg): 0.6339 | Real Acc: 93.75% | Fake Acc: 75.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8415 | Dis Loss (Avg): 0.6324 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8388 | Dis Loss (Avg): 0.6315 | Real Acc: 75.00% | Fake Acc: 18.75%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8407 | Dis Loss (Avg): 0.6307 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8414 | Dis Loss (Avg): 0.6294 | Real Acc: 87.50% | Fake Acc: 81.25%
Time elapsed: 1.16 min
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8386 | Dis Loss (Avg): 0.6290 | Real Acc: 81.25% | Fake Acc: 6.25%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8388 | Dis Loss (Avg): 0.6279 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8426 | Dis Loss (Avg): 0.6260 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8425 | Dis Loss (Avg): 0.6257 | Real Acc: 68.75% | Fake Acc: 68.75%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8406 | Dis Loss (Avg): 0.6239 | Real Acc: 93.75% | Fake Acc: 43.75%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8410 | Dis Loss (Avg): 0.6231 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8457 | Dis Loss (Avg): 0.6212 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8433 | Dis Loss (Avg): 0.6206 | Real Acc: 62.50% | Fake Acc: 31.25%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8456 | Dis Loss (Avg): 0.6204 | Real Acc: 100.00% | Fake Acc: 62.50%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8504 | Dis Loss (Avg): 0.6193 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8490 | Dis Loss (Avg): 0.6254 | Real Acc: 43.75% | Fake Acc: 43.75%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8459 | Dis Loss (Avg): 0.6261 | Real Acc: 87.50% | Fake Acc: 12.50%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8475 | Dis Loss (Avg): 0.6257 | Real Acc: 93.75% | Fake Acc: 81.25%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8524 | Dis Loss (Avg): 0.6238 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8559 | Dis Loss (Avg): 0.6217 | Real Acc: 81.25% | Fake Acc: 43.75%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8550 | Dis Loss (Avg): 0.6223 | Real Acc: 87.50% | Fake Acc: 68.75%
Time elapsed: 1.23 min
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8579 | Dis Loss (Avg): 0.6208 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8547 | Dis Loss (Avg): 0.6205 | Real Acc: 75.00% | Fake Acc: 18.75%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8558 | Dis Loss (Avg): 0.6193 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8535 | Dis Loss (Avg): 0.6187 | Real Acc: 87.50% | Fake Acc: 25.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8543 | Dis Loss (Avg): 0.6175 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8574 | Dis Loss (Avg): 0.6155 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8524 | Dis Loss (Avg): 0.6162 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8486 | Dis Loss (Avg): 0.6186 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8508 | Dis Loss (Avg): 0.6191 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8502 | Dis Loss (Avg): 0.6227 | Real Acc: 43.75% | Fake Acc: 87.50%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8476 | Dis Loss (Avg): 0.6212 | Real Acc: 93.75% | Fake Acc: 6.25%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8493 | Dis Loss (Avg): 0.6211 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8485 | Dis Loss (Avg): 0.6186 | Real Acc: 81.25% | Fake Acc: 50.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8529 | Dis Loss (Avg): 0.6171 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8507 | Dis Loss (Avg): 0.6159 | Real Acc: 68.75% | Fake Acc: 25.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8521 | Dis Loss (Avg): 0.6156 | Real Acc: 100.00% | Fake Acc: 93.75%
Time elapsed: 1.29 min
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8502 | Dis Loss (Avg): 0.6145 | Real Acc: 87.50% | Fake Acc: 50.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8501 | Dis Loss (Avg): 0.6135 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8487 | Dis Loss (Avg): 0.6136 | Real Acc: 87.50% | Fake Acc: 68.75%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8533 | Dis Loss (Avg): 0.6126 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8537 | Dis Loss (Avg): 0.6111 | Real Acc: 68.75% | Fake Acc: 43.75%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8538 | Dis Loss (Avg): 0.6103 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8506 | Dis Loss (Avg): 0.6084 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8513 | Dis Loss (Avg): 0.6083 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8626 | Dis Loss (Avg): 0.6055 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8707 | Dis Loss (Avg): 0.6150 | Real Acc: 37.50% | Fake Acc: 50.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8679 | Dis Loss (Avg): 0.6155 | Real Acc: 75.00% | Fake Acc: 6.25%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8689 | Dis Loss (Avg): 0.6159 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8661 | Dis Loss (Avg): 0.6196 | Real Acc: 37.50% | Fake Acc: 37.50%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8669 | Dis Loss (Avg): 0.6188 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8663 | Dis Loss (Avg): 0.6183 | Real Acc: 93.75% | Fake Acc: 62.50%
[I 2025-01-13 12:33:34,607] Trial 2 finished with value: 0.6162875334934653 and parameters: {'latent_dim': 134, 'lr_gen': 0.0023811723703831395, 'lr_discr': 0.00035026627100548407, 'batch_size': 38, 'num_epochs': 20}. Best is trial 0 with value: 0.5359116051540715.
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8695 | Dis Loss (Avg): 0.6163 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 1.36 min
Total Training Time: 1.36 min
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0014 | Dis Loss (Avg): 0.0070 | Real Acc: 18.75% | Fake Acc: 0.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.3306 | Dis Loss (Avg): 0.0177 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.7466 | Dis Loss (Avg): 0.0335 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 1.2043 | Dis Loss (Avg): 0.0332 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 1.6696 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 2.1250 | Dis Loss (Avg): 0.0325 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 2.5606 | Dis Loss (Avg): 0.0322 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 2.8935 | Dis Loss (Avg): 0.0720 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.1721 | Dis Loss (Avg): 0.0713 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.4124 | Dis Loss (Avg): 0.0706 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.6201 | Dis Loss (Avg): 0.0699 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.7970 | Dis Loss (Avg): 0.0692 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.9454 | Dis Loss (Avg): 0.0685 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 4.0551 | Dis Loss (Avg): 0.0684 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 4.1333 | Dis Loss (Avg): 0.0677 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 4.1729 | Dis Loss (Avg): 0.0671 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.07 min
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.2448 | Dis Loss (Avg): 0.1103 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.3133 | Dis Loss (Avg): 0.1092 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.3659 | Dis Loss (Avg): 0.1081 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.5031 | Dis Loss (Avg): 0.1071 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.6690 | Dis Loss (Avg): 0.1060 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.8367 | Dis Loss (Avg): 0.1050 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.9924 | Dis Loss (Avg): 0.1039 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.1200 | Dis Loss (Avg): 0.1029 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.2108 | Dis Loss (Avg): 0.1018 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.4541 | Dis Loss (Avg): 0.1009 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.7639 | Dis Loss (Avg): 0.0999 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 6.0972 | Dis Loss (Avg): 0.0989 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 6.4324 | Dis Loss (Avg): 0.0979 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 6.7442 | Dis Loss (Avg): 0.0969 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 7.0283 | Dis Loss (Avg): 0.0959 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 7.2442 | Dis Loss (Avg): 0.0950 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.14 min
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 7.4431 | Dis Loss (Avg): 0.0940 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 7.5645 | Dis Loss (Avg): 0.0931 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 8.6464 | Dis Loss (Avg): 0.0924 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 9.6844 | Dis Loss (Avg): 0.1990 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 10.6896 | Dis Loss (Avg): 0.1970 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 11.6256 | Dis Loss (Avg): 0.1951 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 12.4801 | Dis Loss (Avg): 0.1931 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 13.2486 | Dis Loss (Avg): 0.1912 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 13.9221 | Dis Loss (Avg): 0.1893 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 14.4934 | Dis Loss (Avg): 0.1874 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 14.9615 | Dis Loss (Avg): 0.1855 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.3517 | Dis Loss (Avg): 0.1836 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.5930 | Dis Loss (Avg): 0.1818 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.7569 | Dis Loss (Avg): 0.1800 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.7787 | Dis Loss (Avg): 0.1782 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 16.9763 | Dis Loss (Avg): 0.1976 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.20 min
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 18.5647 | Dis Loss (Avg): 0.1956 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 19.9466 | Dis Loss (Avg): 0.4220 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 20.8421 | Dis Loss (Avg): 0.4690 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.4673 | Dis Loss (Avg): 0.4643 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.7900 | Dis Loss (Avg): 0.4810 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.9250 | Dis Loss (Avg): 0.4761 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.9723 | Dis Loss (Avg): 0.4714 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.8976 | Dis Loss (Avg): 0.4667 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.7094 | Dis Loss (Avg): 0.5021 | Real Acc: 93.75% | Fake Acc: 68.75%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.9076 | Dis Loss (Avg): 0.5238 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.1922 | Dis Loss (Avg): 0.5186 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.4855 | Dis Loss (Avg): 0.5134 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.6985 | Dis Loss (Avg): 0.5082 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.6218 | Dis Loss (Avg): 0.7263 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.9382 | Dis Loss (Avg): 0.7278 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 23.3268 | Dis Loss (Avg): 0.7205 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.27 min
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.4817 | Dis Loss (Avg): 0.7866 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.4898 | Dis Loss (Avg): 0.7787 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.3829 | Dis Loss (Avg): 0.7709 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.5990 | Dis Loss (Avg): 0.7725 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.8635 | Dis Loss (Avg): 0.7648 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.8908 | Dis Loss (Avg): 0.7806 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7489 | Dis Loss (Avg): 0.7728 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7629 | Dis Loss (Avg): 0.7679 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7763 | Dis Loss (Avg): 0.7602 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7292 | Dis Loss (Avg): 0.7526 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.5911 | Dis Loss (Avg): 0.7451 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.6031 | Dis Loss (Avg): 0.8086 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.6187 | Dis Loss (Avg): 1.2667 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.5796 | Dis Loss (Avg): 1.2957 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.4954 | Dis Loss (Avg): 1.2827 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.3830 | Dis Loss (Avg): 1.9506 | Real Acc: 68.75% | Fake Acc: 100.00%
Time elapsed: 0.35 min
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.2443 | Dis Loss (Avg): 1.9453 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.1598 | Dis Loss (Avg): 1.9260 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.9576 | Dis Loss (Avg): 1.9588 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.9492 | Dis Loss (Avg): 2.0656 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.0011 | Dis Loss (Avg): 2.0450 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.0445 | Dis Loss (Avg): 2.0439 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.9753 | Dis Loss (Avg): 2.0696 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.8524 | Dis Loss (Avg): 2.0489 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.6868 | Dis Loss (Avg): 2.0284 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.6954 | Dis Loss (Avg): 2.0117 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.7766 | Dis Loss (Avg): 1.9916 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.7322 | Dis Loss (Avg): 2.0000 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.6004 | Dis Loss (Avg): 1.9900 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.5161 | Dis Loss (Avg): 1.9705 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.4321 | Dis Loss (Avg): 1.9508 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.3288 | Dis Loss (Avg): 1.9313 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.42 min
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.2128 | Dis Loss (Avg): 1.9119 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.0857 | Dis Loss (Avg): 1.8930 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.9439 | Dis Loss (Avg): 1.8741 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.7981 | Dis Loss (Avg): 1.8553 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.6717 | Dis Loss (Avg): 1.8371 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.5499 | Dis Loss (Avg): 1.8188 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.4215 | Dis Loss (Avg): 1.8006 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.2770 | Dis Loss (Avg): 1.7826 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.0897 | Dis Loss (Avg): 1.7737 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.0058 | Dis Loss (Avg): 1.7625 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 20.9884 | Dis Loss (Avg): 1.7450 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.1151 | Dis Loss (Avg): 1.7277 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.2717 | Dis Loss (Avg): 1.7104 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.8420 | Dis Loss (Avg): 1.6945 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.3301 | Dis Loss (Avg): 1.7455 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.4923 | Dis Loss (Avg): 1.9243 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 0.49 min
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2852 | Dis Loss (Avg): 2.0357 | Real Acc: 93.75% | Fake Acc: 50.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2189 | Dis Loss (Avg): 2.1012 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2899 | Dis Loss (Avg): 2.0823 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.3363 | Dis Loss (Avg): 3.1036 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2922 | Dis Loss (Avg): 3.1561 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.1235 | Dis Loss (Avg): 3.2971 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.1082 | Dis Loss (Avg): 3.2821 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.1163 | Dis Loss (Avg): 3.2493 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.0204 | Dis Loss (Avg): 3.2751 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.8382 | Dis Loss (Avg): 3.2423 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.6534 | Dis Loss (Avg): 3.2603 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.4524 | Dis Loss (Avg): 3.3508 | Real Acc: 87.50% | Fake Acc: 62.50%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.3499 | Dis Loss (Avg): 3.3949 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.2283 | Dis Loss (Avg): 3.3756 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.1516 | Dis Loss (Avg): 3.3428 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.0739 | Dis Loss (Avg): 3.3094 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.56 min
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.9685 | Dis Loss (Avg): 3.2763 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.8899 | Dis Loss (Avg): 3.2442 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.8148 | Dis Loss (Avg): 3.2117 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.6731 | Dis Loss (Avg): 3.2210 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.4664 | Dis Loss (Avg): 3.4173 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.4341 | Dis Loss (Avg): 3.4961 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.5136 | Dis Loss (Avg): 3.4611 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.4728 | Dis Loss (Avg): 3.5720 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3512 | Dis Loss (Avg): 3.5362 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2290 | Dis Loss (Avg): 3.5112 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3061 | Dis Loss (Avg): 3.4790 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3492 | Dis Loss (Avg): 3.7447 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2519 | Dis Loss (Avg): 4.1634 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2710 | Dis Loss (Avg): 4.1228 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3200 | Dis Loss (Avg): 4.0816 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2521 | Dis Loss (Avg): 4.0889 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 0.62 min
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 20.1075 | Dis Loss (Avg): 4.0481 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 20.0236 | Dis Loss (Avg): 4.0202 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.9553 | Dis Loss (Avg): 3.9801 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.7852 | Dis Loss (Avg): 3.9528 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.6428 | Dis Loss (Avg): 3.9297 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.4805 | Dis Loss (Avg): 3.9180 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.3724 | Dis Loss (Avg): 3.9557 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.3439 | Dis Loss (Avg): 3.9778 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.4398 | Dis Loss (Avg): 3.9421 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.5009 | Dis Loss (Avg): 3.9027 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.4011 | Dis Loss (Avg): 4.6708 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.2482 | Dis Loss (Avg): 4.6837 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.2265 | Dis Loss (Avg): 4.6798 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.2175 | Dis Loss (Avg): 4.7375 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.1524 | Dis Loss (Avg): 4.6997 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.3031 | Dis Loss (Avg): 4.6545 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.69 min
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 19.2942 | Dis Loss (Avg): 5.3117 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 19.1565 | Dis Loss (Avg): 5.2586 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.9649 | Dis Loss (Avg): 5.5791 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.7753 | Dis Loss (Avg): 5.7157 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.5875 | Dis Loss (Avg): 5.8496 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.5108 | Dis Loss (Avg): 5.8613 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.4193 | Dis Loss (Avg): 5.8203 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.3094 | Dis Loss (Avg): 5.7622 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.1351 | Dis Loss (Avg): 5.7505 | Real Acc: 93.75% | Fake Acc: 50.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.0256 | Dis Loss (Avg): 5.7197 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8736 | Dis Loss (Avg): 5.6785 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8129 | Dis Loss (Avg): 5.6334 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8169 | Dis Loss (Avg): 5.5771 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8211 | Dis Loss (Avg): 5.5214 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.6598 | Dis Loss (Avg): 5.5966 | Real Acc: 87.50% | Fake Acc: 62.50%
Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.5190 | Dis Loss (Avg): 5.6201 | Real Acc: 93.75% | Fake Acc: 75.00%
Time elapsed: 0.76 min
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.5958 | Dis Loss (Avg): 5.5807 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.5387 | Dis Loss (Avg): 6.4501 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.5774 | Dis Loss (Avg): 6.3864 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.4357 | Dis Loss (Avg): 6.9427 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.2614 | Dis Loss (Avg): 7.2510 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.0888 | Dis Loss (Avg): 7.3081 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.9863 | Dis Loss (Avg): 7.2848 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.9193 | Dis Loss (Avg): 7.2120 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.8226 | Dis Loss (Avg): 7.8304 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.6883 | Dis Loss (Avg): 7.7576 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.5947 | Dis Loss (Avg): 7.6878 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.4522 | Dis Loss (Avg): 7.7739 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.3293 | Dis Loss (Avg): 7.7128 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.2502 | Dis Loss (Avg): 7.6406 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.1532 | Dis Loss (Avg): 7.7347 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.0039 | Dis Loss (Avg): 7.6837 | Real Acc: 93.75% | Fake Acc: 75.00%
Time elapsed: 0.83 min
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.8621 | Dis Loss (Avg): 7.6334 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.7726 | Dis Loss (Avg): 7.5850 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.6672 | Dis Loss (Avg): 8.2867 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.5120 | Dis Loss (Avg): 8.3001 | Real Acc: 93.75% | Fake Acc: 6.25%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.3673 | Dis Loss (Avg): 8.2820 | Real Acc: 100.00% | Fake Acc: 68.75%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.3322 | Dis Loss (Avg): 8.2283 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.3144 | Dis Loss (Avg): 8.1460 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.1839 | Dis Loss (Avg): 8.6831 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.0321 | Dis Loss (Avg): 9.2966 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.8819 | Dis Loss (Avg): 9.2909 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.7335 | Dis Loss (Avg): 9.2690 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.6424 | Dis Loss (Avg): 9.1930 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.5829 | Dis Loss (Avg): 9.1011 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.5167 | Dis Loss (Avg): 9.0101 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.4445 | Dis Loss (Avg): 8.9203 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.3058 | Dis Loss (Avg): 8.9651 | Real Acc: 93.75% | Fake Acc: 37.50%
Time elapsed: 0.90 min
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 14.1661 | Dis Loss (Avg): 8.9327 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 14.0597 | Dis Loss (Avg): 8.8889 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.9619 | Dis Loss (Avg): 8.9293 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.8271 | Dis Loss (Avg): 8.9030 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.7466 | Dis Loss (Avg): 8.8516 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.8124 | Dis Loss (Avg): 8.7635 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.8258 | Dis Loss (Avg): 11.0941 | Real Acc: 25.00% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.7047 | Dis Loss (Avg): 11.5114 | Real Acc: 68.75% | Fake Acc: 87.50%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.5677 | Dis Loss (Avg): 11.4327 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.4321 | Dis Loss (Avg): 11.3647 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.3288 | Dis Loss (Avg): 11.2828 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.3121 | Dis Loss (Avg): 11.1712 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.2682 | Dis Loss (Avg): 12.1527 | Real Acc: 31.25% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.1677 | Dis Loss (Avg): 12.4814 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.0862 | Dis Loss (Avg): 12.3580 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.0119 | Dis Loss (Avg): 12.2345 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.96 min
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.9408 | Dis Loss (Avg): 12.1122 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.8501 | Dis Loss (Avg): 12.1298 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.7589 | Dis Loss (Avg): 12.0091 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.6363 | Dis Loss (Avg): 11.9713 | Real Acc: 93.75% | Fake Acc: 18.75%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.5274 | Dis Loss (Avg): 11.9081 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.4037 | Dis Loss (Avg): 11.8209 | Real Acc: 87.50% | Fake Acc: 6.25%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.2818 | Dis Loss (Avg): 11.7531 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.1988 | Dis Loss (Avg): 11.6507 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.1145 | Dis Loss (Avg): 11.7499 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.9976 | Dis Loss (Avg): 12.0609 | Real Acc: 50.00% | Fake Acc: 0.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.9012 | Dis Loss (Avg): 11.9578 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.7969 | Dis Loss (Avg): 11.8606 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.7256 | Dis Loss (Avg): 11.7456 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.6392 | Dis Loss (Avg): 11.9970 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.5274 | Dis Loss (Avg): 12.0080 | Real Acc: 62.50% | Fake Acc: 6.25%
Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.4386 | Dis Loss (Avg): 11.8980 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.03 min
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.3830 | Dis Loss (Avg): 11.7801 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.3119 | Dis Loss (Avg): 11.6721 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.2001 | Dis Loss (Avg): 11.5570 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.0881 | Dis Loss (Avg): 11.4987 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.9884 | Dis Loss (Avg): 11.4352 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.8935 | Dis Loss (Avg): 11.4149 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.8349 | Dis Loss (Avg): 11.3096 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.7580 | Dis Loss (Avg): 11.4831 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.6505 | Dis Loss (Avg): 11.3879 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.5462 | Dis Loss (Avg): 11.3068 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.4803 | Dis Loss (Avg): 11.2142 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.4655 | Dis Loss (Avg): 11.1029 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.4139 | Dis Loss (Avg): 11.3493 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.3218 | Dis Loss (Avg): 11.3124 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.2538 | Dis Loss (Avg): 11.2056 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.1558 | Dis Loss (Avg): 11.1111 | Real Acc: 93.75% | Fake Acc: 18.75%
Time elapsed: 1.10 min
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 10.0677 | Dis Loss (Avg): 11.0235 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 10.0009 | Dis Loss (Avg): 10.9255 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.9165 | Dis Loss (Avg): 10.9042 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.8275 | Dis Loss (Avg): 10.8388 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.7329 | Dis Loss (Avg): 10.7668 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.6662 | Dis Loss (Avg): 10.6961 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.5699 | Dis Loss (Avg): 10.5909 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.5162 | Dis Loss (Avg): 10.5123 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.4395 | Dis Loss (Avg): 10.4112 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.3458 | Dis Loss (Avg): 10.3439 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.2726 | Dis Loss (Avg): 10.2633 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.2570 | Dis Loss (Avg): 10.1663 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.2397 | Dis Loss (Avg): 10.1538 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.1673 | Dis Loss (Avg): 10.5077 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.0761 | Dis Loss (Avg): 10.4231 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.0042 | Dis Loss (Avg): 10.3401 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.16 min
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.9828 | Dis Loss (Avg): 10.2393 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.9350 | Dis Loss (Avg): 10.2263 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.8487 | Dis Loss (Avg): 10.1825 | Real Acc: 93.75% | Fake Acc: 6.25%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.7759 | Dis Loss (Avg): 10.1186 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.7373 | Dis Loss (Avg): 10.0254 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.6833 | Dis Loss (Avg): 10.1420 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.6202 | Dis Loss (Avg): 10.0418 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.5946 | Dis Loss (Avg): 9.9446 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.5304 | Dis Loss (Avg): 9.8890 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.5019 | Dis Loss (Avg): 9.7934 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.4345 | Dis Loss (Avg): 9.9743 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.3509 | Dis Loss (Avg): 9.9111 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.2821 | Dis Loss (Avg): 9.8289 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.2540 | Dis Loss (Avg): 9.7333 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.1986 | Dis Loss (Avg): 9.8375 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.1171 | Dis Loss (Avg): 9.7516 | Real Acc: 93.75% | Fake Acc: 0.00%
Time elapsed: 1.23 min
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 8.0359 | Dis Loss (Avg): 9.6835 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.9596 | Dis Loss (Avg): 9.6193 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.9171 | Dis Loss (Avg): 9.5323 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.8571 | Dis Loss (Avg): 9.5639 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.7845 | Dis Loss (Avg): 9.5242 | Real Acc: 75.00% | Fake Acc: 25.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.7233 | Dis Loss (Avg): 9.4348 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.6561 | Dis Loss (Avg): 9.3522 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.6045 | Dis Loss (Avg): 9.2625 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.5421 | Dis Loss (Avg): 9.1844 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.4958 | Dis Loss (Avg): 9.0990 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.4394 | Dis Loss (Avg): 9.0087 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.4127 | Dis Loss (Avg): 8.9216 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.3524 | Dis Loss (Avg): 9.0443 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.3041 | Dis Loss (Avg): 8.9588 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.2385 | Dis Loss (Avg): 8.9004 | Real Acc: 81.25% | Fake Acc: 68.75%
Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.1837 | Dis Loss (Avg): 8.8178 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.30 min
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.1613 | Dis Loss (Avg): 8.7328 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.1280 | Dis Loss (Avg): 8.7463 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.1028 | Dis Loss (Avg): 8.6596 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.0455 | Dis Loss (Avg): 8.6842 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.9751 | Dis Loss (Avg): 8.6357 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.9064 | Dis Loss (Avg): 8.5805 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.8600 | Dis Loss (Avg): 8.5132 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.8061 | Dis Loss (Avg): 8.4310 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7810 | Dis Loss (Avg): 8.3486 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7802 | Dis Loss (Avg): 8.2655 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7559 | Dis Loss (Avg): 8.7581 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7000 | Dis Loss (Avg): 8.8312 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.6608 | Dis Loss (Avg): 8.7482 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.6388 | Dis Loss (Avg): 8.6614 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:34:57,088] Trial 3 finished with value: 8.64641719928837 and parameters: {'latent_dim': 175, 'lr_gen': 6.0500688804195905e-05, 'lr_discr': 0.0047275412738452946, 'batch_size': 53, 'num_epochs': 20}. Best is trial 0 with value: 0.5359116051540715.
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.5940 | Dis Loss (Avg): 8.7160 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.5331 | Dis Loss (Avg): 8.6464 | Real Acc: 93.75% | Fake Acc: 6.25%
Time elapsed: 1.36 min
Total Training Time: 1.36 min
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0077 | Dis Loss (Avg): 0.0069 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0137 | Dis Loss (Avg): 0.0195 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0196 | Dis Loss (Avg): 0.0299 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0285 | Dis Loss (Avg): 0.0402 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0500 | Dis Loss (Avg): 0.0457 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0602 | Dis Loss (Avg): 0.0735 | Real Acc: 50.00% | Fake Acc: 100.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0608 | Dis Loss (Avg): 0.1085 | Real Acc: 6.25% | Fake Acc: 0.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0622 | Dis Loss (Avg): 0.1279 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0758 | Dis Loss (Avg): 0.1403 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1077 | Dis Loss (Avg): 0.1420 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1278 | Dis Loss (Avg): 0.1428 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1346 | Dis Loss (Avg): 0.1455 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1393 | Dis Loss (Avg): 0.1487 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1452 | Dis Loss (Avg): 0.1515 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1527 | Dis Loss (Avg): 0.1534 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1618 | Dis Loss (Avg): 0.1546 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.07 min
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.1728 | Dis Loss (Avg): 0.1553 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.1851 | Dis Loss (Avg): 0.1556 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.1975 | Dis Loss (Avg): 0.1559 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2073 | Dis Loss (Avg): 0.1567 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2126 | Dis Loss (Avg): 0.1592 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2161 | Dis Loss (Avg): 0.1630 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2201 | Dis Loss (Avg): 0.1684 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2263 | Dis Loss (Avg): 0.1726 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2323 | Dis Loss (Avg): 0.1752 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2410 | Dis Loss (Avg): 0.1768 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2521 | Dis Loss (Avg): 0.1776 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2592 | Dis Loss (Avg): 0.1790 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2627 | Dis Loss (Avg): 0.1824 | Real Acc: 100.00% | Fake Acc: 6.25%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2651 | Dis Loss (Avg): 0.1880 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2725 | Dis Loss (Avg): 0.1916 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2783 | Dis Loss (Avg): 0.2106 | Real Acc: 43.75% | Fake Acc: 100.00%
Time elapsed: 0.13 min
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2845 | Dis Loss (Avg): 0.2126 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2872 | Dis Loss (Avg): 0.2150 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2920 | Dis Loss (Avg): 0.2172 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2996 | Dis Loss (Avg): 0.2191 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3028 | Dis Loss (Avg): 0.2210 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3065 | Dis Loss (Avg): 0.2240 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3139 | Dis Loss (Avg): 0.2260 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3169 | Dis Loss (Avg): 0.2319 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3208 | Dis Loss (Avg): 0.2343 | Real Acc: 100.00% | Fake Acc: 68.75%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3260 | Dis Loss (Avg): 0.2361 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3308 | Dis Loss (Avg): 0.2372 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3371 | Dis Loss (Avg): 0.2385 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3376 | Dis Loss (Avg): 0.2404 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3391 | Dis Loss (Avg): 0.2453 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3458 | Dis Loss (Avg): 0.2478 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3494 | Dis Loss (Avg): 0.2555 | Real Acc: 50.00% | Fake Acc: 68.75%
Time elapsed: 0.20 min
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3528 | Dis Loss (Avg): 0.2569 | Real Acc: 100.00% | Fake Acc: 31.25%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3576 | Dis Loss (Avg): 0.2580 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3607 | Dis Loss (Avg): 0.2594 | Real Acc: 93.75% | Fake Acc: 18.75%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3642 | Dis Loss (Avg): 0.2612 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3692 | Dis Loss (Avg): 0.2628 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3712 | Dis Loss (Avg): 0.2650 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3769 | Dis Loss (Avg): 0.2671 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3785 | Dis Loss (Avg): 0.2685 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3821 | Dis Loss (Avg): 0.2710 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3849 | Dis Loss (Avg): 0.2724 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3886 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3927 | Dis Loss (Avg): 0.2747 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4007 | Dis Loss (Avg): 0.2754 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4015 | Dis Loss (Avg): 0.2772 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4039 | Dis Loss (Avg): 0.2803 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4126 | Dis Loss (Avg): 0.2820 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.27 min
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4169 | Dis Loss (Avg): 0.2950 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4172 | Dis Loss (Avg): 0.2999 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4204 | Dis Loss (Avg): 0.3024 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4268 | Dis Loss (Avg): 0.3031 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4282 | Dis Loss (Avg): 0.3061 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4305 | Dis Loss (Avg): 0.3074 | Real Acc: 100.00% | Fake Acc: 25.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4341 | Dis Loss (Avg): 0.3087 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4340 | Dis Loss (Avg): 0.3099 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4349 | Dis Loss (Avg): 0.3126 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4393 | Dis Loss (Avg): 0.3141 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4410 | Dis Loss (Avg): 0.3164 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4436 | Dis Loss (Avg): 0.3175 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4469 | Dis Loss (Avg): 0.3181 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4469 | Dis Loss (Avg): 0.3188 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4486 | Dis Loss (Avg): 0.3211 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4535 | Dis Loss (Avg): 0.3219 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.33 min
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4547 | Dis Loss (Avg): 0.3241 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4577 | Dis Loss (Avg): 0.3253 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4596 | Dis Loss (Avg): 0.3257 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4629 | Dis Loss (Avg): 0.3265 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4689 | Dis Loss (Avg): 0.3264 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4694 | Dis Loss (Avg): 0.3269 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4714 | Dis Loss (Avg): 0.3290 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4755 | Dis Loss (Avg): 0.3299 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4767 | Dis Loss (Avg): 0.3302 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4816 | Dis Loss (Avg): 0.3313 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4825 | Dis Loss (Avg): 0.3314 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4874 | Dis Loss (Avg): 0.3334 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4886 | Dis Loss (Avg): 0.3362 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4927 | Dis Loss (Avg): 0.3373 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:35:21,755] Trial 4 finished with value: 0.33912804189778406 and parameters: {'latent_dim': 189, 'lr_gen': 0.001221490964348859, 'lr_discr': 0.0003257527184873621, 'batch_size': 49, 'num_epochs': 6}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4933 | Dis Loss (Avg): 0.3377 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4963 | Dis Loss (Avg): 0.3391 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.40 min
Total Training Time: 0.40 min
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0090 | Dis Loss (Avg): 0.0070 | Real Acc: 37.50% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0198 | Dis Loss (Avg): 0.0173 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0334 | Dis Loss (Avg): 0.0255 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0517 | Dis Loss (Avg): 0.0272 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0739 | Dis Loss (Avg): 0.0284 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0880 | Dis Loss (Avg): 0.0299 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0992 | Dis Loss (Avg): 0.0376 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1149 | Dis Loss (Avg): 0.0454 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1222 | Dis Loss (Avg): 0.0534 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1342 | Dis Loss (Avg): 0.0608 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1515 | Dis Loss (Avg): 0.0645 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1730 | Dis Loss (Avg): 0.0664 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1946 | Dis Loss (Avg): 0.0680 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2136 | Dis Loss (Avg): 0.0703 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2165 | Dis Loss (Avg): 0.0916 | Real Acc: 50.00% | Fake Acc: 0.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2202 | Dis Loss (Avg): 0.0995 | Real Acc: 100.00% | Fake Acc: 0.00%
Time elapsed: 0.07 min
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2312 | Dis Loss (Avg): 0.1038 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2423 | Dis Loss (Avg): 0.1091 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2577 | Dis Loss (Avg): 0.1099 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2776 | Dis Loss (Avg): 0.1101 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2992 | Dis Loss (Avg): 0.1100 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3178 | Dis Loss (Avg): 0.1104 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3185 | Dis Loss (Avg): 0.1170 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3207 | Dis Loss (Avg): 0.1235 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3298 | Dis Loss (Avg): 0.1269 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3428 | Dis Loss (Avg): 0.1281 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3465 | Dis Loss (Avg): 0.1333 | Real Acc: 56.25% | Fake Acc: 62.50%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3493 | Dis Loss (Avg): 0.1371 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3579 | Dis Loss (Avg): 0.1397 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3612 | Dis Loss (Avg): 0.1447 | Real Acc: 87.50% | Fake Acc: 37.50%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3652 | Dis Loss (Avg): 0.1482 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3742 | Dis Loss (Avg): 0.1506 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.13 min
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3795 | Dis Loss (Avg): 0.1734 | Real Acc: 56.25% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3855 | Dis Loss (Avg): 0.1750 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3868 | Dis Loss (Avg): 0.1771 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3890 | Dis Loss (Avg): 0.1809 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3941 | Dis Loss (Avg): 0.1836 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3970 | Dis Loss (Avg): 0.1871 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3975 | Dis Loss (Avg): 0.1900 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3998 | Dis Loss (Avg): 0.1935 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4057 | Dis Loss (Avg): 0.1958 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4079 | Dis Loss (Avg): 0.2010 | Real Acc: 62.50% | Fake Acc: 0.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4110 | Dis Loss (Avg): 0.2035 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4176 | Dis Loss (Avg): 0.2052 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4202 | Dis Loss (Avg): 0.2171 | Real Acc: 68.75% | Fake Acc: 12.50%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4252 | Dis Loss (Avg): 0.2190 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4287 | Dis Loss (Avg): 0.2204 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4355 | Dis Loss (Avg): 0.2221 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.20 min
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4357 | Dis Loss (Avg): 0.2249 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4380 | Dis Loss (Avg): 0.2278 | Real Acc: 100.00% | Fake Acc: 12.50%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4451 | Dis Loss (Avg): 0.2294 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4473 | Dis Loss (Avg): 0.2378 | Real Acc: 75.00% | Fake Acc: 25.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4501 | Dis Loss (Avg): 0.2398 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4560 | Dis Loss (Avg): 0.2415 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4564 | Dis Loss (Avg): 0.2517 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4580 | Dis Loss (Avg): 0.2543 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4623 | Dis Loss (Avg): 0.2562 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4637 | Dis Loss (Avg): 0.2733 | Real Acc: 37.50% | Fake Acc: 0.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4669 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4701 | Dis Loss (Avg): 0.2752 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4744 | Dis Loss (Avg): 0.2760 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4737 | Dis Loss (Avg): 0.2790 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4749 | Dis Loss (Avg): 0.2819 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4798 | Dis Loss (Avg): 0.2832 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.27 min
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4811 | Dis Loss (Avg): 0.2879 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4830 | Dis Loss (Avg): 0.2892 | Real Acc: 100.00% | Fake Acc: 6.25%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4872 | Dis Loss (Avg): 0.2899 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4889 | Dis Loss (Avg): 0.2949 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4912 | Dis Loss (Avg): 0.2959 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4947 | Dis Loss (Avg): 0.2966 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4949 | Dis Loss (Avg): 0.3008 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4961 | Dis Loss (Avg): 0.3024 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4995 | Dis Loss (Avg): 0.3033 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4997 | Dis Loss (Avg): 0.3048 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5010 | Dis Loss (Avg): 0.3063 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5052 | Dis Loss (Avg): 0.3072 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5054 | Dis Loss (Avg): 0.3101 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5069 | Dis Loss (Avg): 0.3117 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5102 | Dis Loss (Avg): 0.3124 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5108 | Dis Loss (Avg): 0.3166 | Real Acc: 68.75% | Fake Acc: 0.00%
Time elapsed: 0.34 min
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5127 | Dis Loss (Avg): 0.3178 | Real Acc: 100.00% | Fake Acc: 68.75%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5163 | Dis Loss (Avg): 0.3184 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5160 | Dis Loss (Avg): 0.3201 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5168 | Dis Loss (Avg): 0.3219 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5206 | Dis Loss (Avg): 0.3229 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5281 | Dis Loss (Avg): 0.3224 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5303 | Dis Loss (Avg): 0.3446 | Real Acc: 50.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5303 | Dis Loss (Avg): 0.3447 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5335 | Dis Loss (Avg): 0.3458 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5328 | Dis Loss (Avg): 0.3466 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5334 | Dis Loss (Avg): 0.3483 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5367 | Dis Loss (Avg): 0.3489 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5359 | Dis Loss (Avg): 0.3504 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5363 | Dis Loss (Avg): 0.3522 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5393 | Dis Loss (Avg): 0.3529 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5395 | Dis Loss (Avg): 0.3553 | Real Acc: 81.25% | Fake Acc: 0.00%
Time elapsed: 0.41 min
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5404 | Dis Loss (Avg): 0.3562 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5433 | Dis Loss (Avg): 0.3566 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5493 | Dis Loss (Avg): 0.3559 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5507 | Dis Loss (Avg): 0.3653 | Real Acc: 75.00% | Fake Acc: 25.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5520 | Dis Loss (Avg): 0.3655 | Real Acc: 100.00% | Fake Acc: 18.75%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5551 | Dis Loss (Avg): 0.3656 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5548 | Dis Loss (Avg): 0.3669 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5555 | Dis Loss (Avg): 0.3678 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5590 | Dis Loss (Avg): 0.3681 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5584 | Dis Loss (Avg): 0.3682 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5591 | Dis Loss (Avg): 0.3695 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5638 | Dis Loss (Avg): 0.3701 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5645 | Dis Loss (Avg): 0.3746 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5662 | Dis Loss (Avg): 0.3747 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5704 | Dis Loss (Avg): 0.3744 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5694 | Dis Loss (Avg): 0.3783 | Real Acc: 75.00% | Fake Acc: 0.00%
Time elapsed: 0.47 min
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5699 | Dis Loss (Avg): 0.3796 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5741 | Dis Loss (Avg): 0.3799 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5807 | Dis Loss (Avg): 0.3789 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5797 | Dis Loss (Avg): 0.3880 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5820 | Dis Loss (Avg): 0.3894 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5892 | Dis Loss (Avg): 0.3886 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5901 | Dis Loss (Avg): 0.4012 | Real Acc: 56.25% | Fake Acc: 18.75%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5928 | Dis Loss (Avg): 0.4011 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5984 | Dis Loss (Avg): 0.4003 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5976 | Dis Loss (Avg): 0.4047 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5997 | Dis Loss (Avg): 0.4066 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6034 | Dis Loss (Avg): 0.4060 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6030 | Dis Loss (Avg): 0.4088 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6040 | Dis Loss (Avg): 0.4090 | Real Acc: 100.00% | Fake Acc: 68.75%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6078 | Dis Loss (Avg): 0.4084 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6075 | Dis Loss (Avg): 0.4102 | Real Acc: 68.75% | Fake Acc: 0.00%
Time elapsed: 0.54 min
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6082 | Dis Loss (Avg): 0.4105 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6117 | Dis Loss (Avg): 0.4101 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6136 | Dis Loss (Avg): 0.4090 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6124 | Dis Loss (Avg): 0.4093 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6122 | Dis Loss (Avg): 0.4101 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6153 | Dis Loss (Avg): 0.4102 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6147 | Dis Loss (Avg): 0.4106 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6152 | Dis Loss (Avg): 0.4110 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6182 | Dis Loss (Avg): 0.4106 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6181 | Dis Loss (Avg): 0.4120 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6189 | Dis Loss (Avg): 0.4119 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6212 | Dis Loss (Avg): 0.4114 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6217 | Dis Loss (Avg): 0.4106 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6239 | Dis Loss (Avg): 0.4104 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6250 | Dis Loss (Avg): 0.4097 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6306 | Dis Loss (Avg): 0.4091 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.60 min
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6294 | Dis Loss (Avg): 0.4082 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6330 | Dis Loss (Avg): 0.4102 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6326 | Dis Loss (Avg): 0.4137 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6366 | Dis Loss (Avg): 0.4142 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6361 | Dis Loss (Avg): 0.4137 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6397 | Dis Loss (Avg): 0.4154 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6483 | Dis Loss (Avg): 0.4139 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6481 | Dis Loss (Avg): 0.4143 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6433 | Dis Loss (Avg): 0.4167 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6410 | Dis Loss (Avg): 0.4228 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6469 | Dis Loss (Avg): 0.4244 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6506 | Dis Loss (Avg): 0.4229 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6532 | Dis Loss (Avg): 0.4248 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6503 | Dis Loss (Avg): 0.4247 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6518 | Dis Loss (Avg): 0.4272 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:36:02,681] Trial 5 finished with value: 0.426223971153298 and parameters: {'latent_dim': 109, 'lr_gen': 0.00057384907576986, 'lr_discr': 0.0004791507469445179, 'batch_size': 62, 'num_epochs': 10}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6626 | Dis Loss (Avg): 0.4262 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.67 min
Total Training Time: 0.67 min
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0098 | Dis Loss (Avg): 0.0070 | Real Acc: 56.25% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0223 | Dis Loss (Avg): 0.0297 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0607 | Dis Loss (Avg): 0.0312 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1209 | Dis Loss (Avg): 0.0310 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1947 | Dis Loss (Avg): 0.0307 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2761 | Dis Loss (Avg): 0.0304 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.3607 | Dis Loss (Avg): 0.0301 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.4465 | Dis Loss (Avg): 0.0298 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.5321 | Dis Loss (Avg): 0.0295 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.6154 | Dis Loss (Avg): 0.0292 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.6975 | Dis Loss (Avg): 0.0289 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.7781 | Dis Loss (Avg): 0.0286 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.8457 | Dis Loss (Avg): 0.0284 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.9099 | Dis Loss (Avg): 0.0686 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.9727 | Dis Loss (Avg): 0.0679 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 1.0345 | Dis Loss (Avg): 0.0672 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.07 min
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.0959 | Dis Loss (Avg): 0.0665 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.1566 | Dis Loss (Avg): 0.0659 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.2172 | Dis Loss (Avg): 0.0652 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.2768 | Dis Loss (Avg): 0.0646 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.3360 | Dis Loss (Avg): 0.0639 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.3933 | Dis Loss (Avg): 0.0633 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.4494 | Dis Loss (Avg): 0.0627 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.5051 | Dis Loss (Avg): 0.0621 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.5605 | Dis Loss (Avg): 0.0614 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.6155 | Dis Loss (Avg): 0.0608 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.6704 | Dis Loss (Avg): 0.0602 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.7252 | Dis Loss (Avg): 0.0596 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.7793 | Dis Loss (Avg): 0.0590 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.8327 | Dis Loss (Avg): 0.0585 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.8856 | Dis Loss (Avg): 0.0579 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.9376 | Dis Loss (Avg): 0.0573 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.13 min
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 1.9887 | Dis Loss (Avg): 0.0567 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.0386 | Dis Loss (Avg): 0.0562 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.0873 | Dis Loss (Avg): 0.0556 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.1348 | Dis Loss (Avg): 0.0551 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.1821 | Dis Loss (Avg): 0.0545 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.2308 | Dis Loss (Avg): 0.0540 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.2789 | Dis Loss (Avg): 0.0535 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.3280 | Dis Loss (Avg): 0.0529 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.3779 | Dis Loss (Avg): 0.0524 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.4275 | Dis Loss (Avg): 0.0519 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.4784 | Dis Loss (Avg): 0.0514 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.5284 | Dis Loss (Avg): 0.0509 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.5791 | Dis Loss (Avg): 0.0504 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.6301 | Dis Loss (Avg): 0.0499 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.6797 | Dis Loss (Avg): 0.0494 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.7304 | Dis Loss (Avg): 0.0489 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.20 min
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.7814 | Dis Loss (Avg): 0.0484 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.8323 | Dis Loss (Avg): 0.0479 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.8848 | Dis Loss (Avg): 0.0474 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.9400 | Dis Loss (Avg): 0.0470 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.9923 | Dis Loss (Avg): 0.0465 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.0453 | Dis Loss (Avg): 0.0460 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.0968 | Dis Loss (Avg): 0.0456 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.1490 | Dis Loss (Avg): 0.0451 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.2036 | Dis Loss (Avg): 0.0447 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.2562 | Dis Loss (Avg): 0.0442 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.3111 | Dis Loss (Avg): 0.0438 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.3648 | Dis Loss (Avg): 0.0434 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.4186 | Dis Loss (Avg): 0.0429 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.4725 | Dis Loss (Avg): 0.0425 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.5303 | Dis Loss (Avg): 0.0421 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.5814 | Dis Loss (Avg): 0.0417 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.26 min
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.6353 | Dis Loss (Avg): 0.0413 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.6928 | Dis Loss (Avg): 0.0408 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.7458 | Dis Loss (Avg): 0.0404 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.8022 | Dis Loss (Avg): 0.0400 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.8570 | Dis Loss (Avg): 0.0396 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.9168 | Dis Loss (Avg): 0.0392 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.9730 | Dis Loss (Avg): 0.0388 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.0275 | Dis Loss (Avg): 0.0385 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.0780 | Dis Loss (Avg): 0.0381 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.1380 | Dis Loss (Avg): 0.0377 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.1962 | Dis Loss (Avg): 0.0373 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.2530 | Dis Loss (Avg): 0.0370 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.3072 | Dis Loss (Avg): 0.0366 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.3937 | Dis Loss (Avg): 0.0362 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.4946 | Dis Loss (Avg): 0.0359 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.6048 | Dis Loss (Avg): 0.0355 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.33 min
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 4.7079 | Dis Loss (Avg): 0.0352 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 4.8146 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 4.9178 | Dis Loss (Avg): 0.0345 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.0040 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.0863 | Dis Loss (Avg): 0.0338 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.1692 | Dis Loss (Avg): 0.0334 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.2384 | Dis Loss (Avg): 0.0331 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.2991 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.3499 | Dis Loss (Avg): 0.0324 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.4004 | Dis Loss (Avg): 0.0321 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.4462 | Dis Loss (Avg): 0.0318 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.4926 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.5442 | Dis Loss (Avg): 0.0312 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.6020 | Dis Loss (Avg): 0.0309 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.6634 | Dis Loss (Avg): 0.0306 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.7229 | Dis Loss (Avg): 0.0302 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.40 min
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.7816 | Dis Loss (Avg): 0.0299 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.8382 | Dis Loss (Avg): 0.0296 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.8851 | Dis Loss (Avg): 0.0293 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.9382 | Dis Loss (Avg): 0.0291 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.9948 | Dis Loss (Avg): 0.0288 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.0583 | Dis Loss (Avg): 0.0285 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.1278 | Dis Loss (Avg): 0.0282 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.1901 | Dis Loss (Avg): 0.0279 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.2495 | Dis Loss (Avg): 0.0276 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.3046 | Dis Loss (Avg): 0.0274 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.3487 | Dis Loss (Avg): 0.0271 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.4025 | Dis Loss (Avg): 0.0268 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.4511 | Dis Loss (Avg): 0.0265 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.5229 | Dis Loss (Avg): 0.0263 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.5987 | Dis Loss (Avg): 0.0260 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.6842 | Dis Loss (Avg): 0.0258 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.46 min
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.7611 | Dis Loss (Avg): 0.0255 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.8228 | Dis Loss (Avg): 0.0253 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.8855 | Dis Loss (Avg): 0.0250 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.9429 | Dis Loss (Avg): 0.0248 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.9932 | Dis Loss (Avg): 0.0245 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.0499 | Dis Loss (Avg): 0.0243 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.1110 | Dis Loss (Avg): 0.0240 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.1672 | Dis Loss (Avg): 0.0238 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.2382 | Dis Loss (Avg): 0.0235 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.3043 | Dis Loss (Avg): 0.0233 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.3680 | Dis Loss (Avg): 0.0231 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.4288 | Dis Loss (Avg): 0.0228 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.4812 | Dis Loss (Avg): 0.0226 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.5307 | Dis Loss (Avg): 0.0224 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.5756 | Dis Loss (Avg): 0.0222 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.6416 | Dis Loss (Avg): 0.0219 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.53 min
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.7174 | Dis Loss (Avg): 0.0217 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.7948 | Dis Loss (Avg): 0.0215 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.8584 | Dis Loss (Avg): 0.0213 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9245 | Dis Loss (Avg): 0.0211 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9819 | Dis Loss (Avg): 0.0209 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9076 | Dis Loss (Avg): 0.0246 | Real Acc: 93.75% | Fake Acc: 18.75%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0414 | Dis Loss (Avg): 0.1763 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9612 | Dis Loss (Avg): 0.5880 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0319 | Dis Loss (Avg): 0.6216 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0185 | Dis Loss (Avg): 0.6537 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9626 | Dis Loss (Avg): 0.6472 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0165 | Dis Loss (Avg): 0.6438 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0534 | Dis Loss (Avg): 0.6381 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9728 | Dis Loss (Avg): 0.6517 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9105 | Dis Loss (Avg): 0.7237 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9546 | Dis Loss (Avg): 0.7192 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.60 min
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9893 | Dis Loss (Avg): 0.7304 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0150 | Dis Loss (Avg): 0.7231 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0309 | Dis Loss (Avg): 0.7158 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0349 | Dis Loss (Avg): 0.7087 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0261 | Dis Loss (Avg): 0.7016 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0065 | Dis Loss (Avg): 0.6946 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9888 | Dis Loss (Avg): 0.6877 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9781 | Dis Loss (Avg): 0.6809 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9717 | Dis Loss (Avg): 0.6742 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9773 | Dis Loss (Avg): 0.6675 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9826 | Dis Loss (Avg): 0.6608 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9253 | Dis Loss (Avg): 0.6669 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9448 | Dis Loss (Avg): 0.6639 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9264 | Dis Loss (Avg): 0.6843 | Real Acc: 87.50% | Fake Acc: 100.00%
[I 2025-01-13 12:36:43,228] Trial 6 finished with value: 0.6733400050371819 and parameters: {'latent_dim': 112, 'lr_gen': 2.052075786914411e-05, 'lr_discr': 0.001553937974261388, 'batch_size': 51, 'num_epochs': 10}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.8760 | Dis Loss (Avg): 0.6775 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9057 | Dis Loss (Avg): 0.6733 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.67 min
Total Training Time: 0.67 min
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.0038 | Dis Loss (Avg): 0.0069 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.1493 | Dis Loss (Avg): 0.0135 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.3786 | Dis Loss (Avg): 0.0134 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.5905 | Dis Loss (Avg): 0.0265 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.7878 | Dis Loss (Avg): 0.0263 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.9682 | Dis Loss (Avg): 0.0260 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.1663 | Dis Loss (Avg): 0.2311 | Real Acc: 50.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.3687 | Dis Loss (Avg): 0.2288 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.5691 | Dis Loss (Avg): 0.2265 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.7619 | Dis Loss (Avg): 0.2243 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.9439 | Dis Loss (Avg): 0.2220 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.1132 | Dis Loss (Avg): 0.2198 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.2697 | Dis Loss (Avg): 0.2176 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.4131 | Dis Loss (Avg): 0.2154 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.5427 | Dis Loss (Avg): 0.2133 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.6608 | Dis Loss (Avg): 0.2111 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.07 min
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.7655 | Dis Loss (Avg): 0.2090 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.8550 | Dis Loss (Avg): 0.2069 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.9288 | Dis Loss (Avg): 0.2049 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.9877 | Dis Loss (Avg): 0.2263 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.0302 | Dis Loss (Avg): 0.2241 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.0951 | Dis Loss (Avg): 0.2219 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.1594 | Dis Loss (Avg): 0.2197 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.2276 | Dis Loss (Avg): 0.2176 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.2809 | Dis Loss (Avg): 0.2175 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.6544 | Dis Loss (Avg): 0.2172 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 4.1715 | Dis Loss (Avg): 0.2150 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 4.7358 | Dis Loss (Avg): 0.2129 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 5.2108 | Dis Loss (Avg): 0.2350 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 5.6109 | Dis Loss (Avg): 0.2327 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 5.8870 | Dis Loss (Avg): 0.2965 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 6.0849 | Dis Loss (Avg): 0.2935 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.13 min
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.2272 | Dis Loss (Avg): 0.2906 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.3287 | Dis Loss (Avg): 0.2877 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.3760 | Dis Loss (Avg): 0.2848 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.4245 | Dis Loss (Avg): 0.2820 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.5589 | Dis Loss (Avg): 0.2793 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.7120 | Dis Loss (Avg): 0.2765 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.8653 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.9747 | Dis Loss (Avg): 0.2710 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 7.0408 | Dis Loss (Avg): 0.2683 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 7.3434 | Dis Loss (Avg): 0.2665 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 7.7184 | Dis Loss (Avg): 0.2639 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.1110 | Dis Loss (Avg): 0.2612 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.2944 | Dis Loss (Avg): 0.2633 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.3447 | Dis Loss (Avg): 0.2607 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.7737 | Dis Loss (Avg): 0.2777 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 9.3155 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.20 min
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.6651 | Dis Loss (Avg): 0.4423 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.8775 | Dis Loss (Avg): 0.4379 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.9728 | Dis Loss (Avg): 0.4335 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.9716 | Dis Loss (Avg): 0.4292 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.3161 | Dis Loss (Avg): 0.4542 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5448 | Dis Loss (Avg): 0.7520 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5154 | Dis Loss (Avg): 0.8096 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5321 | Dis Loss (Avg): 0.8073 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5438 | Dis Loss (Avg): 0.7992 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5252 | Dis Loss (Avg): 0.7913 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.6019 | Dis Loss (Avg): 0.7920 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.6248 | Dis Loss (Avg): 0.8621 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5187 | Dis Loss (Avg): 0.9038 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.4755 | Dis Loss (Avg): 0.9310 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.4617 | Dis Loss (Avg): 0.9218 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.4354 | Dis Loss (Avg): 0.9247 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 0.27 min
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.4024 | Dis Loss (Avg): 0.9155 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.3013 | Dis Loss (Avg): 0.9135 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.2317 | Dis Loss (Avg): 0.9278 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.2301 | Dis Loss (Avg): 0.9207 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.2089 | Dis Loss (Avg): 1.1121 | Real Acc: 50.00% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.1277 | Dis Loss (Avg): 1.1432 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.0937 | Dis Loss (Avg): 1.1368 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.0406 | Dis Loss (Avg): 1.1326 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.9413 | Dis Loss (Avg): 1.1231 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.8789 | Dis Loss (Avg): 1.1291 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.7990 | Dis Loss (Avg): 1.1438 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.7468 | Dis Loss (Avg): 1.1360 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.6863 | Dis Loss (Avg): 1.1270 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.6325 | Dis Loss (Avg): 1.1165 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.6246 | Dis Loss (Avg): 1.1066 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.5724 | Dis Loss (Avg): 1.6672 | Real Acc: 50.00% | Fake Acc: 100.00%
Time elapsed: 0.34 min
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.4767 | Dis Loss (Avg): 1.6629 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.3828 | Dis Loss (Avg): 1.6827 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.3024 | Dis Loss (Avg): 1.6836 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.2857 | Dis Loss (Avg): 1.6698 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.2398 | Dis Loss (Avg): 1.7479 | Real Acc: 56.25% | Fake Acc: 100.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.1895 | Dis Loss (Avg): 1.7307 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.0978 | Dis Loss (Avg): 1.8057 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.0094 | Dis Loss (Avg): 1.8130 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.9573 | Dis Loss (Avg): 1.8055 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.9373 | Dis Loss (Avg): 1.7877 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.8758 | Dis Loss (Avg): 1.8126 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.8243 | Dis Loss (Avg): 1.7970 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.7945 | Dis Loss (Avg): 1.7797 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.7723 | Dis Loss (Avg): 1.7620 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.6964 | Dis Loss (Avg): 1.8130 | Real Acc: 81.25% | Fake Acc: 81.25%
Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.6103 | Dis Loss (Avg): 1.8162 | Real Acc: 93.75% | Fake Acc: 0.00%
Time elapsed: 0.40 min
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.5408 | Dis Loss (Avg): 1.8237 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.5122 | Dis Loss (Avg): 1.8112 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.4670 | Dis Loss (Avg): 1.8228 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.3916 | Dis Loss (Avg): 1.8254 | Real Acc: 93.75% | Fake Acc: 75.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.3079 | Dis Loss (Avg): 1.8334 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.2353 | Dis Loss (Avg): 1.8427 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.1783 | Dis Loss (Avg): 1.8292 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.1008 | Dis Loss (Avg): 1.8265 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.0202 | Dis Loss (Avg): 1.8381 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.9475 | Dis Loss (Avg): 1.8381 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.9023 | Dis Loss (Avg): 1.8249 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.8386 | Dis Loss (Avg): 1.9012 | Real Acc: 56.25% | Fake Acc: 100.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.7679 | Dis Loss (Avg): 1.8927 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.6939 | Dis Loss (Avg): 1.8868 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.6352 | Dis Loss (Avg): 1.8753 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.5625 | Dis Loss (Avg): 1.8774 | Real Acc: 68.75% | Fake Acc: 6.25%
Time elapsed: 0.47 min
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.4961 | Dis Loss (Avg): 1.8675 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.4600 | Dis Loss (Avg): 1.8537 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.3985 | Dis Loss (Avg): 1.8662 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.3316 | Dis Loss (Avg): 1.8549 | Real Acc: 93.75% | Fake Acc: 56.25%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.2800 | Dis Loss (Avg): 1.8435 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.2229 | Dis Loss (Avg): 1.8271 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.1560 | Dis Loss (Avg): 1.9066 | Real Acc: 75.00% | Fake Acc: 12.50%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.0874 | Dis Loss (Avg): 1.9017 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.0358 | Dis Loss (Avg): 1.8916 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.9745 | Dis Loss (Avg): 1.9770 | Real Acc: 43.75% | Fake Acc: 100.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.9248 | Dis Loss (Avg): 1.9608 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.8637 | Dis Loss (Avg): 1.9917 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.8110 | Dis Loss (Avg): 1.9751 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.7488 | Dis Loss (Avg): 1.9810 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.6923 | Dis Loss (Avg): 1.9660 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.6301 | Dis Loss (Avg): 1.9490 | Real Acc: 93.75% | Fake Acc: 0.00%
Time elapsed: 0.54 min
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.5744 | Dis Loss (Avg): 1.9357 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.5143 | Dis Loss (Avg): 1.9223 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.4596 | Dis Loss (Avg): 1.9076 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.4001 | Dis Loss (Avg): 1.8910 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.3473 | Dis Loss (Avg): 1.8775 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.3082 | Dis Loss (Avg): 1.8617 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.2609 | Dis Loss (Avg): 1.9742 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.2008 | Dis Loss (Avg): 2.0120 | Real Acc: 62.50% | Fake Acc: 0.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.1459 | Dis Loss (Avg): 2.0015 | Real Acc: 100.00% | Fake Acc: 62.50%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.0970 | Dis Loss (Avg): 1.9851 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.0457 | Dis Loss (Avg): 1.9780 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.9896 | Dis Loss (Avg): 1.9609 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.9416 | Dis Loss (Avg): 1.9475 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.8891 | Dis Loss (Avg): 1.9491 | Real Acc: 75.00% | Fake Acc: 68.75%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.8394 | Dis Loss (Avg): 1.9331 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.7875 | Dis Loss (Avg): 1.9165 | Real Acc: 100.00% | Fake Acc: 0.00%
Time elapsed: 0.61 min
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.7390 | Dis Loss (Avg): 1.9012 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.6946 | Dis Loss (Avg): 1.8847 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.6562 | Dis Loss (Avg): 1.8675 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.6109 | Dis Loss (Avg): 1.8875 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.5612 | Dis Loss (Avg): 1.8715 | Real Acc: 93.75% | Fake Acc: 25.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.5146 | Dis Loss (Avg): 1.8576 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.4731 | Dis Loss (Avg): 1.8417 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.4273 | Dis Loss (Avg): 1.8410 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.3832 | Dis Loss (Avg): 1.8255 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.3337 | Dis Loss (Avg): 1.8097 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.2914 | Dis Loss (Avg): 1.7982 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.2428 | Dis Loss (Avg): 1.7831 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.1969 | Dis Loss (Avg): 1.7721 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.1595 | Dis Loss (Avg): 1.7583 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.1309 | Dis Loss (Avg): 1.7423 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.0909 | Dis Loss (Avg): 1.8106 | Real Acc: 62.50% | Fake Acc: 100.00%
Time elapsed: 0.69 min
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 5.0400 | Dis Loss (Avg): 1.7954 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.9896 | Dis Loss (Avg): 1.8291 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.9400 | Dis Loss (Avg): 1.8498 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.9026 | Dis Loss (Avg): 1.8498 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.8649 | Dis Loss (Avg): 1.8339 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.8470 | Dis Loss (Avg): 1.8181 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.8115 | Dis Loss (Avg): 2.0253 | Real Acc: 37.50% | Fake Acc: 100.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.7647 | Dis Loss (Avg): 2.0156 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.7237 | Dis Loss (Avg): 2.0094 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.6918 | Dis Loss (Avg): 1.9935 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.6575 | Dis Loss (Avg): 2.0472 | Real Acc: 56.25% | Fake Acc: 100.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.6189 | Dis Loss (Avg): 2.0335 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.5842 | Dis Loss (Avg): 2.0164 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.5573 | Dis Loss (Avg): 1.9984 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.5260 | Dis Loss (Avg): 2.0015 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.4846 | Dis Loss (Avg): 1.9878 | Real Acc: 93.75% | Fake Acc: 0.00%
Time elapsed: 0.76 min
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.4471 | Dis Loss (Avg): 1.9752 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.4159 | Dis Loss (Avg): 1.9593 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.3897 | Dis Loss (Avg): 1.9414 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.3528 | Dis Loss (Avg): 1.9468 | Real Acc: 87.50% | Fake Acc: 50.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.3184 | Dis Loss (Avg): 1.9311 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.2872 | Dis Loss (Avg): 1.9146 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.2568 | Dis Loss (Avg): 1.8976 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.2220 | Dis Loss (Avg): 1.8975 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.1887 | Dis Loss (Avg): 1.8819 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.1572 | Dis Loss (Avg): 1.8657 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.1261 | Dis Loss (Avg): 1.8495 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0965 | Dis Loss (Avg): 1.8335 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0630 | Dis Loss (Avg): 1.8225 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0310 | Dis Loss (Avg): 1.8080 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0011 | Dis Loss (Avg): 1.7931 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 3.9738 | Dis Loss (Avg): 1.7774 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.82 min
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.9449 | Dis Loss (Avg): 1.7692 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.9140 | Dis Loss (Avg): 1.7555 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8849 | Dis Loss (Avg): 1.7410 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8584 | Dis Loss (Avg): 1.7262 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8291 | Dis Loss (Avg): 1.7165 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8006 | Dis Loss (Avg): 1.7020 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.7741 | Dis Loss (Avg): 1.6875 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.7449 | Dis Loss (Avg): 1.6739 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.7178 | Dis Loss (Avg): 1.6606 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6886 | Dis Loss (Avg): 1.6465 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6611 | Dis Loss (Avg): 1.6332 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6362 | Dis Loss (Avg): 1.6194 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6138 | Dis Loss (Avg): 1.6051 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.5873 | Dis Loss (Avg): 1.5974 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.5619 | Dis Loss (Avg): 1.5842 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.5384 | Dis Loss (Avg): 1.5708 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.89 min
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.5154 | Dis Loss (Avg): 1.5570 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4941 | Dis Loss (Avg): 1.5432 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4749 | Dis Loss (Avg): 1.5294 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4509 | Dis Loss (Avg): 1.5335 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4307 | Dis Loss (Avg): 1.5222 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4126 | Dis Loss (Avg): 1.5085 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3899 | Dis Loss (Avg): 1.5307 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3644 | Dis Loss (Avg): 1.5191 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3410 | Dis Loss (Avg): 1.5070 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3210 | Dis Loss (Avg): 1.4941 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3049 | Dis Loss (Avg): 1.4809 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2807 | Dis Loss (Avg): 1.4750 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2598 | Dis Loss (Avg): 1.4647 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2354 | Dis Loss (Avg): 1.4523 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2150 | Dis Loss (Avg): 1.4417 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:37:41,285] Trial 7 finished with value: 1.4316544707240413 and parameters: {'latent_dim': 194, 'lr_gen': 7.132068773165721e-05, 'lr_discr': 0.0030742178962451894, 'batch_size': 16, 'num_epochs': 14}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.1885 | Dis Loss (Avg): 1.4317 | Real Acc: 87.50% | Fake Acc: 0.00%
Time elapsed: 0.96 min
Total Training Time: 0.96 min
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.0123 | Dis Loss (Avg): 0.0068 | Real Acc: 50.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.0541 | Dis Loss (Avg): 0.0229 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.1193 | Dis Loss (Avg): 0.0228 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.1909 | Dis Loss (Avg): 0.0226 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.2582 | Dis Loss (Avg): 0.0301 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.3585 | Dis Loss (Avg): 0.0301 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.4689 | Dis Loss (Avg): 0.0298 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.5697 | Dis Loss (Avg): 0.0295 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.6467 | Dis Loss (Avg): 0.0293 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.7483 | Dis Loss (Avg): 0.0291 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.8463 | Dis Loss (Avg): 0.0288 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.9366 | Dis Loss (Avg): 0.0286 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.9272 | Dis Loss (Avg): 0.0822 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.9945 | Dis Loss (Avg): 0.1287 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 1.0836 | Dis Loss (Avg): 0.1275 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 1.1196 | Dis Loss (Avg): 0.1424 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 0.07 min
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.1999 | Dis Loss (Avg): 0.1737 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.2864 | Dis Loss (Avg): 0.1720 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.3341 | Dis Loss (Avg): 0.1760 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.3825 | Dis Loss (Avg): 0.1750 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.4073 | Dis Loss (Avg): 0.1849 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.4560 | Dis Loss (Avg): 0.2083 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.5310 | Dis Loss (Avg): 0.2065 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.5620 | Dis Loss (Avg): 0.2882 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.6274 | Dis Loss (Avg): 0.2892 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.6941 | Dis Loss (Avg): 0.2863 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.7317 | Dis Loss (Avg): 0.2943 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.7704 | Dis Loss (Avg): 0.2922 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.7830 | Dis Loss (Avg): 0.3144 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.8383 | Dis Loss (Avg): 0.3263 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.8675 | Dis Loss (Avg): 0.3386 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.8636 | Dis Loss (Avg): 0.3530 | Real Acc: 87.50% | Fake Acc: 81.25%
Time elapsed: 0.14 min
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 1.8760 | Dis Loss (Avg): 0.3673 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 1.9289 | Dis Loss (Avg): 0.3693 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 1.9952 | Dis Loss (Avg): 0.3656 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0013 | Dis Loss (Avg): 0.5848 | Real Acc: 43.75% | Fake Acc: 100.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0168 | Dis Loss (Avg): 0.5891 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0870 | Dis Loss (Avg): 0.5869 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0995 | Dis Loss (Avg): 1.1681 | Real Acc: 12.50% | Fake Acc: 100.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0786 | Dis Loss (Avg): 1.2051 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0578 | Dis Loss (Avg): 1.2358 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0406 | Dis Loss (Avg): 1.2518 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0545 | Dis Loss (Avg): 1.2490 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0555 | Dis Loss (Avg): 1.3366 | Real Acc: 25.00% | Fake Acc: 100.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0364 | Dis Loss (Avg): 1.3294 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0209 | Dis Loss (Avg): 1.3313 | Real Acc: 100.00% | Fake Acc: 6.25%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0233 | Dis Loss (Avg): 1.3280 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0158 | Dis Loss (Avg): 1.3187 | Real Acc: 81.25% | Fake Acc: 100.00%
Time elapsed: 0.20 min
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0146 | Dis Loss (Avg): 1.3099 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0377 | Dis Loss (Avg): 1.3007 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0362 | Dis Loss (Avg): 1.3105 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0377 | Dis Loss (Avg): 1.3029 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0216 | Dis Loss (Avg): 1.3342 | Real Acc: 43.75% | Fake Acc: 0.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0160 | Dis Loss (Avg): 1.3281 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0055 | Dis Loss (Avg): 1.3392 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0057 | Dis Loss (Avg): 1.3305 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9923 | Dis Loss (Avg): 1.3644 | Real Acc: 56.25% | Fake Acc: 37.50%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9853 | Dis Loss (Avg): 1.3562 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9833 | Dis Loss (Avg): 1.3451 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9693 | Dis Loss (Avg): 1.3539 | Real Acc: 75.00% | Fake Acc: 12.50%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9577 | Dis Loss (Avg): 1.3470 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9563 | Dis Loss (Avg): 1.3376 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9463 | Dis Loss (Avg): 1.3646 | Real Acc: 43.75% | Fake Acc: 100.00%
Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9302 | Dis Loss (Avg): 1.3556 | Real Acc: 93.75% | Fake Acc: 0.00%
Time elapsed: 0.27 min
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.9136 | Dis Loss (Avg): 1.3515 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.9017 | Dis Loss (Avg): 1.3458 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.9001 | Dis Loss (Avg): 1.3363 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8886 | Dis Loss (Avg): 1.3633 | Real Acc: 62.50% | Fake Acc: 87.50%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8821 | Dis Loss (Avg): 1.3562 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8696 | Dis Loss (Avg): 1.3639 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8660 | Dis Loss (Avg): 1.3547 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8512 | Dis Loss (Avg): 1.3450 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8375 | Dis Loss (Avg): 1.3392 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8285 | Dis Loss (Avg): 1.3316 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8159 | Dis Loss (Avg): 1.3244 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8057 | Dis Loss (Avg): 1.3158 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7929 | Dis Loss (Avg): 1.3065 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7832 | Dis Loss (Avg): 1.2983 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7795 | Dis Loss (Avg): 1.2886 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7692 | Dis Loss (Avg): 1.3044 | Real Acc: 62.50% | Fake Acc: 100.00%
Time elapsed: 0.34 min
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7535 | Dis Loss (Avg): 1.2992 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7404 | Dis Loss (Avg): 1.2964 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7338 | Dis Loss (Avg): 1.2890 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7229 | Dis Loss (Avg): 1.2802 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7134 | Dis Loss (Avg): 1.2713 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7062 | Dis Loss (Avg): 1.2622 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6951 | Dis Loss (Avg): 1.2555 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6856 | Dis Loss (Avg): 1.2469 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6792 | Dis Loss (Avg): 1.2379 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6689 | Dis Loss (Avg): 1.2382 | Real Acc: 62.50% | Fake Acc: 12.50%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6601 | Dis Loss (Avg): 1.2300 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6535 | Dis Loss (Avg): 1.2208 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6435 | Dis Loss (Avg): 1.2137 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6344 | Dis Loss (Avg): 1.2055 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6274 | Dis Loss (Avg): 1.1971 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6174 | Dis Loss (Avg): 1.1888 | Real Acc: 87.50% | Fake Acc: 0.00%
Time elapsed: 0.41 min
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.6082 | Dis Loss (Avg): 1.1810 | Real Acc: 100.00% | Fake Acc: 56.25%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.6017 | Dis Loss (Avg): 1.1727 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5952 | Dis Loss (Avg): 1.1639 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5892 | Dis Loss (Avg): 1.1550 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5818 | Dis Loss (Avg): 1.1467 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5777 | Dis Loss (Avg): 1.1382 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5678 | Dis Loss (Avg): 1.1381 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5591 | Dis Loss (Avg): 1.1311 | Real Acc: 100.00% | Fake Acc: 68.75%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5524 | Dis Loss (Avg): 1.1234 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5428 | Dis Loss (Avg): 1.1161 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5336 | Dis Loss (Avg): 1.1091 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5262 | Dis Loss (Avg): 1.1020 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5189 | Dis Loss (Avg): 1.0944 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5128 | Dis Loss (Avg): 1.0865 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5071 | Dis Loss (Avg): 1.0783 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.4963 | Dis Loss (Avg): 1.0706 | Real Acc: 93.75% | Fake Acc: 0.00%
Time elapsed: 0.48 min
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4872 | Dis Loss (Avg): 1.0654 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4813 | Dis Loss (Avg): 1.0589 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4792 | Dis Loss (Avg): 1.0511 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4697 | Dis Loss (Avg): 1.0528 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4635 | Dis Loss (Avg): 1.0485 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4619 | Dis Loss (Avg): 1.0412 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4547 | Dis Loss (Avg): 1.0461 | Real Acc: 62.50% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4486 | Dis Loss (Avg): 1.0389 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4457 | Dis Loss (Avg): 1.0314 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4370 | Dis Loss (Avg): 1.0251 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4301 | Dis Loss (Avg): 1.0191 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4257 | Dis Loss (Avg): 1.0125 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4189 | Dis Loss (Avg): 1.0071 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4129 | Dis Loss (Avg): 1.0004 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4081 | Dis Loss (Avg): 0.9935 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4056 | Dis Loss (Avg): 0.9863 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.54 min
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3992 | Dis Loss (Avg): 0.9870 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3935 | Dis Loss (Avg): 0.9806 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3891 | Dis Loss (Avg): 0.9737 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3807 | Dis Loss (Avg): 0.9680 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3747 | Dis Loss (Avg): 0.9634 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3701 | Dis Loss (Avg): 0.9569 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3659 | Dis Loss (Avg): 0.9500 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3610 | Dis Loss (Avg): 0.9434 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3577 | Dis Loss (Avg): 0.9369 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3506 | Dis Loss (Avg): 0.9372 | Real Acc: 68.75% | Fake Acc: 0.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3455 | Dis Loss (Avg): 0.9318 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3424 | Dis Loss (Avg): 0.9257 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3405 | Dis Loss (Avg): 0.9190 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3351 | Dis Loss (Avg): 0.9215 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3307 | Dis Loss (Avg): 0.9154 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3295 | Dis Loss (Avg): 0.9089 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.61 min
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3244 | Dis Loss (Avg): 0.9032 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3214 | Dis Loss (Avg): 0.8974 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3200 | Dis Loss (Avg): 0.8910 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3142 | Dis Loss (Avg): 0.8915 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3110 | Dis Loss (Avg): 0.8862 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3104 | Dis Loss (Avg): 0.8800 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3081 | Dis Loss (Avg): 0.8734 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2977 | Dis Loss (Avg): 0.8710 | Real Acc: 87.50% | Fake Acc: 0.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2925 | Dis Loss (Avg): 0.8709 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3007 | Dis Loss (Avg): 0.8654 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2926 | Dis Loss (Avg): 0.8734 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2810 | Dis Loss (Avg): 0.8746 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2729 | Dis Loss (Avg): 0.8794 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2698 | Dis Loss (Avg): 0.8765 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2647 | Dis Loss (Avg): 0.8722 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2608 | Dis Loss (Avg): 0.8667 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.68 min
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2582 | Dis Loss (Avg): 0.8609 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2534 | Dis Loss (Avg): 0.8563 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2493 | Dis Loss (Avg): 0.8509 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2468 | Dis Loss (Avg): 0.8452 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2458 | Dis Loss (Avg): 0.8391 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2427 | Dis Loss (Avg): 0.8338 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2341 | Dis Loss (Avg): 0.8300 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2287 | Dis Loss (Avg): 0.8283 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2262 | Dis Loss (Avg): 0.8236 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2235 | Dis Loss (Avg): 0.8190 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2252 | Dis Loss (Avg): 0.8134 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2212 | Dis Loss (Avg): 0.8126 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2171 | Dis Loss (Avg): 0.8081 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2156 | Dis Loss (Avg): 0.8035 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2113 | Dis Loss (Avg): 0.7981 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2103 | Dis Loss (Avg): 0.7932 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.75 min
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.2040 | Dis Loss (Avg): 0.7884 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.2013 | Dis Loss (Avg): 0.7852 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.2003 | Dis Loss (Avg): 0.7801 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1958 | Dis Loss (Avg): 0.7786 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1919 | Dis Loss (Avg): 0.7741 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1897 | Dis Loss (Avg): 0.7693 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1889 | Dis Loss (Avg): 0.7641 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1854 | Dis Loss (Avg): 0.7597 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1822 | Dis Loss (Avg): 0.7552 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1764 | Dis Loss (Avg): 0.7526 | Real Acc: 81.25% | Fake Acc: 0.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1722 | Dis Loss (Avg): 0.7496 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1697 | Dis Loss (Avg): 0.7453 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1687 | Dis Loss (Avg): 0.7405 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1669 | Dis Loss (Avg): 0.7361 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1658 | Dis Loss (Avg): 0.7311 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:38:31,090] Trial 8 finished with value: 0.7290459909833029 and parameters: {'latent_dim': 153, 'lr_gen': 0.0003357870828493334, 'lr_discr': 0.0019387489454709185, 'batch_size': 40, 'num_epochs': 12}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1606 | Dis Loss (Avg): 0.7290 | Real Acc: 81.25% | Fake Acc: 0.00%
Time elapsed: 0.82 min
Total Training Time: 0.82 min
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0095 | Dis Loss (Avg): 0.0069 | Real Acc: 56.25% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0094 | Dis Loss (Avg): 0.1595 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2235 | Dis Loss (Avg): 0.2259 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2213 | Dis Loss (Avg): 2.1205 | Real Acc: 18.75% | Fake Acc: 0.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2191 | Dis Loss (Avg): 4.1283 | Real Acc: 18.75% | Fake Acc: 0.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 1.9752 | Dis Loss (Avg): 4.4782 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.1643 | Dis Loss (Avg): 4.4507 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.2570 | Dis Loss (Avg): 4.4433 | Real Acc: 81.25% | Fake Acc: 81.25%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.3673 | Dis Loss (Avg): 4.5050 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.3475 | Dis Loss (Avg): 4.6456 | Real Acc: 25.00% | Fake Acc: 43.75%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.3310 | Dis Loss (Avg): 4.6811 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.4452 | Dis Loss (Avg): 4.6817 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.5037 | Dis Loss (Avg): 4.6776 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.4778 | Dis Loss (Avg): 4.7341 | Real Acc: 62.50% | Fake Acc: 37.50%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.4958 | Dis Loss (Avg): 4.8450 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.8332 | Dis Loss (Avg): 4.8201 | Real Acc: 75.00% | Fake Acc: 100.00%
Time elapsed: 0.07 min
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 3.9851 | Dis Loss (Avg): 4.9514 | Real Acc: 12.50% | Fake Acc: 81.25%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1157 | Dis Loss (Avg): 4.9991 | Real Acc: 56.25% | Fake Acc: 93.75%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0874 | Dis Loss (Avg): 5.0312 | Real Acc: 25.00% | Fake Acc: 18.75%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1114 | Dis Loss (Avg): 5.0154 | Real Acc: 93.75% | Fake Acc: 75.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0778 | Dis Loss (Avg): 5.0196 | Real Acc: 31.25% | Fake Acc: 37.50%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0972 | Dis Loss (Avg): 4.9936 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1449 | Dis Loss (Avg): 4.9485 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1128 | Dis Loss (Avg): 5.0568 | Real Acc: 12.50% | Fake Acc: 37.50%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0782 | Dis Loss (Avg): 5.1297 | Real Acc: 18.75% | Fake Acc: 43.75%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.2154 | Dis Loss (Avg): 5.1702 | Real Acc: 87.50% | Fake Acc: 75.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.3961 | Dis Loss (Avg): 5.1934 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.3965 | Dis Loss (Avg): 5.2250 | Real Acc: 31.25% | Fake Acc: 37.50%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.3569 | Dis Loss (Avg): 5.2315 | Real Acc: 50.00% | Fake Acc: 25.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.4658 | Dis Loss (Avg): 5.2120 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.4580 | Dis Loss (Avg): 5.2538 | Real Acc: 18.75% | Fake Acc: 100.00%
Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.4156 | Dis Loss (Avg): 5.2318 | Real Acc: 31.25% | Fake Acc: 0.00%
Time elapsed: 0.14 min
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3909 | Dis Loss (Avg): 5.1964 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3890 | Dis Loss (Avg): 5.1540 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3563 | Dis Loss (Avg): 5.1440 | Real Acc: 37.50% | Fake Acc: 75.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3477 | Dis Loss (Avg): 5.1088 | Real Acc: 87.50% | Fake Acc: 68.75%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3442 | Dis Loss (Avg): 5.0673 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3713 | Dis Loss (Avg): 5.0316 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3475 | Dis Loss (Avg): 5.1027 | Real Acc: 6.25% | Fake Acc: 81.25%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3668 | Dis Loss (Avg): 5.1085 | Real Acc: 31.25% | Fake Acc: 93.75%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.4083 | Dis Loss (Avg): 5.0615 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3820 | Dis Loss (Avg): 5.0170 | Real Acc: 87.50% | Fake Acc: 68.75%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3592 | Dis Loss (Avg): 4.9725 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3462 | Dis Loss (Avg): 4.9281 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3112 | Dis Loss (Avg): 4.9025 | Real Acc: 31.25% | Fake Acc: 56.25%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.2723 | Dis Loss (Avg): 4.8896 | Real Acc: 75.00% | Fake Acc: 12.50%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.2718 | Dis Loss (Avg): 4.8529 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.2377 | Dis Loss (Avg): 4.8400 | Real Acc: 43.75% | Fake Acc: 50.00%
Time elapsed: 0.21 min
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.2170 | Dis Loss (Avg): 4.8015 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1790 | Dis Loss (Avg): 4.7617 | Real Acc: 68.75% | Fake Acc: 6.25%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1534 | Dis Loss (Avg): 4.7264 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1245 | Dis Loss (Avg): 4.6897 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1062 | Dis Loss (Avg): 4.6771 | Real Acc: 25.00% | Fake Acc: 68.75%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0774 | Dis Loss (Avg): 4.6545 | Real Acc: 50.00% | Fake Acc: 75.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0903 | Dis Loss (Avg): 4.6132 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0646 | Dis Loss (Avg): 4.5751 | Real Acc: 43.75% | Fake Acc: 43.75%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0269 | Dis Loss (Avg): 4.5518 | Real Acc: 87.50% | Fake Acc: 6.25%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0117 | Dis Loss (Avg): 4.5196 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.9760 | Dis Loss (Avg): 4.4855 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.9482 | Dis Loss (Avg): 4.4486 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.9148 | Dis Loss (Avg): 4.4127 | Real Acc: 50.00% | Fake Acc: 18.75%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.8891 | Dis Loss (Avg): 4.3744 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.8549 | Dis Loss (Avg): 4.3376 | Real Acc: 43.75% | Fake Acc: 18.75%
Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.8244 | Dis Loss (Avg): 4.3036 | Real Acc: 93.75% | Fake Acc: 68.75%
Time elapsed: 0.28 min
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7943 | Dis Loss (Avg): 4.2662 | Real Acc: 75.00% | Fake Acc: 68.75%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7606 | Dis Loss (Avg): 4.2318 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7493 | Dis Loss (Avg): 4.1960 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7176 | Dis Loss (Avg): 4.1678 | Real Acc: 43.75% | Fake Acc: 37.50%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6888 | Dis Loss (Avg): 4.1340 | Real Acc: 87.50% | Fake Acc: 87.50%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6706 | Dis Loss (Avg): 4.0973 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6364 | Dis Loss (Avg): 4.0666 | Real Acc: 62.50% | Fake Acc: 12.50%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6020 | Dis Loss (Avg): 4.0409 | Real Acc: 93.75% | Fake Acc: 0.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5753 | Dis Loss (Avg): 4.0109 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5555 | Dis Loss (Avg): 3.9762 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5274 | Dis Loss (Avg): 3.9500 | Real Acc: 43.75% | Fake Acc: 37.50%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5037 | Dis Loss (Avg): 3.9174 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.4727 | Dis Loss (Avg): 3.8859 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.4434 | Dis Loss (Avg): 3.8563 | Real Acc: 93.75% | Fake Acc: 6.25%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.4263 | Dis Loss (Avg): 3.8232 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.3979 | Dis Loss (Avg): 3.8002 | Real Acc: 43.75% | Fake Acc: 31.25%
Time elapsed: 0.34 min
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3768 | Dis Loss (Avg): 3.7688 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3779 | Dis Loss (Avg): 3.7369 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3492 | Dis Loss (Avg): 3.7203 | Real Acc: 43.75% | Fake Acc: 12.50%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3246 | Dis Loss (Avg): 3.6896 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3108 | Dis Loss (Avg): 3.6567 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2824 | Dis Loss (Avg): 3.6302 | Real Acc: 43.75% | Fake Acc: 6.25%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2750 | Dis Loss (Avg): 3.6010 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2514 | Dis Loss (Avg): 3.5726 | Real Acc: 81.25% | Fake Acc: 31.25%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2290 | Dis Loss (Avg): 3.5438 | Real Acc: 93.75% | Fake Acc: 68.75%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2218 | Dis Loss (Avg): 3.5130 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2001 | Dis Loss (Avg): 3.4958 | Real Acc: 50.00% | Fake Acc: 100.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1742 | Dis Loss (Avg): 3.4679 | Real Acc: 75.00% | Fake Acc: 18.75%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1473 | Dis Loss (Avg): 3.4467 | Real Acc: 87.50% | Fake Acc: 12.50%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1286 | Dis Loss (Avg): 3.4210 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1051 | Dis Loss (Avg): 3.3965 | Real Acc: 31.25% | Fake Acc: 75.00%
Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.0966 | Dis Loss (Avg): 3.3666 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.41 min
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0779 | Dis Loss (Avg): 3.3375 | Real Acc: 87.50% | Fake Acc: 68.75%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0523 | Dis Loss (Avg): 3.3155 | Real Acc: 68.75% | Fake Acc: 18.75%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0310 | Dis Loss (Avg): 3.2900 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0080 | Dis Loss (Avg): 3.2671 | Real Acc: 68.75% | Fake Acc: 62.50%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9915 | Dis Loss (Avg): 3.2405 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9731 | Dis Loss (Avg): 3.2141 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9656 | Dis Loss (Avg): 3.1865 | Real Acc: 93.75% | Fake Acc: 68.75%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9529 | Dis Loss (Avg): 3.1639 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9302 | Dis Loss (Avg): 3.1395 | Real Acc: 56.25% | Fake Acc: 50.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9185 | Dis Loss (Avg): 3.1140 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8983 | Dis Loss (Avg): 3.0916 | Real Acc: 62.50% | Fake Acc: 75.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8829 | Dis Loss (Avg): 3.0690 | Real Acc: 75.00% | Fake Acc: 93.75%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8779 | Dis Loss (Avg): 3.0440 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8592 | Dis Loss (Avg): 3.0352 | Real Acc: 37.50% | Fake Acc: 56.25%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8550 | Dis Loss (Avg): 3.0102 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8376 | Dis Loss (Avg): 2.9863 | Real Acc: 56.25% | Fake Acc: 43.75%
Time elapsed: 0.48 min
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.8172 | Dis Loss (Avg): 2.9636 | Real Acc: 87.50% | Fake Acc: 50.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.8088 | Dis Loss (Avg): 2.9397 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7900 | Dis Loss (Avg): 2.9214 | Real Acc: 68.75% | Fake Acc: 81.25%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7660 | Dis Loss (Avg): 2.8984 | Real Acc: 75.00% | Fake Acc: 0.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7507 | Dis Loss (Avg): 2.8758 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7401 | Dis Loss (Avg): 2.8528 | Real Acc: 81.25% | Fake Acc: 81.25%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7178 | Dis Loss (Avg): 2.8341 | Real Acc: 62.50% | Fake Acc: 18.75%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6966 | Dis Loss (Avg): 2.8168 | Real Acc: 87.50% | Fake Acc: 18.75%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6887 | Dis Loss (Avg): 2.7942 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6714 | Dis Loss (Avg): 2.7834 | Real Acc: 25.00% | Fake Acc: 100.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6484 | Dis Loss (Avg): 2.7631 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6292 | Dis Loss (Avg): 2.7417 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6158 | Dis Loss (Avg): 2.7187 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.5973 | Dis Loss (Avg): 2.6952 | Real Acc: 93.75% | Fake Acc: 62.50%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.5956 | Dis Loss (Avg): 2.6771 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.5749 | Dis Loss (Avg): 2.6678 | Real Acc: 37.50% | Fake Acc: 25.00%
Time elapsed: 0.55 min
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5639 | Dis Loss (Avg): 2.6481 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5461 | Dis Loss (Avg): 2.6281 | Real Acc: 68.75% | Fake Acc: 81.25%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5388 | Dis Loss (Avg): 2.6071 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5208 | Dis Loss (Avg): 2.5908 | Real Acc: 75.00% | Fake Acc: 62.50%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5092 | Dis Loss (Avg): 2.5708 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4989 | Dis Loss (Avg): 2.5496 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4926 | Dis Loss (Avg): 2.5287 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4812 | Dis Loss (Avg): 2.5117 | Real Acc: 50.00% | Fake Acc: 62.50%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4742 | Dis Loss (Avg): 2.4935 | Real Acc: 100.00% | Fake Acc: 81.25%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4605 | Dis Loss (Avg): 2.4753 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4423 | Dis Loss (Avg): 2.4624 | Real Acc: 18.75% | Fake Acc: 31.25%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4347 | Dis Loss (Avg): 2.4435 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4174 | Dis Loss (Avg): 2.4273 | Real Acc: 43.75% | Fake Acc: 43.75%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4198 | Dis Loss (Avg): 2.4071 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4112 | Dis Loss (Avg): 2.3883 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.3908 | Dis Loss (Avg): 2.3691 | Real Acc: 81.25% | Fake Acc: 6.25%
Time elapsed: 0.62 min
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3759 | Dis Loss (Avg): 2.3544 | Real Acc: 93.75% | Fake Acc: 81.25%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3650 | Dis Loss (Avg): 2.3363 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3483 | Dis Loss (Avg): 2.3176 | Real Acc: 75.00% | Fake Acc: 50.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3336 | Dis Loss (Avg): 2.3034 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3349 | Dis Loss (Avg): 2.2851 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3182 | Dis Loss (Avg): 2.2699 | Real Acc: 62.50% | Fake Acc: 43.75%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3224 | Dis Loss (Avg): 2.2514 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3132 | Dis Loss (Avg): 2.2351 | Real Acc: 81.25% | Fake Acc: 62.50%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3143 | Dis Loss (Avg): 2.2169 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3077 | Dis Loss (Avg): 2.1996 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3031 | Dis Loss (Avg): 2.1819 | Real Acc: 75.00% | Fake Acc: 81.25%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3004 | Dis Loss (Avg): 2.1667 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3111 | Dis Loss (Avg): 2.1490 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3251 | Dis Loss (Avg): 2.1410 | Real Acc: 50.00% | Fake Acc: 93.75%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3117 | Dis Loss (Avg): 2.1244 | Real Acc: 81.25% | Fake Acc: 31.25%
Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.2997 | Dis Loss (Avg): 2.1115 | Real Acc: 100.00% | Fake Acc: 68.75%
Time elapsed: 0.69 min
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3108 | Dis Loss (Avg): 2.0937 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.2989 | Dis Loss (Avg): 2.0825 | Real Acc: 43.75% | Fake Acc: 81.25%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3041 | Dis Loss (Avg): 2.0659 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3250 | Dis Loss (Avg): 2.0524 | Real Acc: 62.50% | Fake Acc: 81.25%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3218 | Dis Loss (Avg): 2.0357 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3226 | Dis Loss (Avg): 2.0228 | Real Acc: 81.25% | Fake Acc: 93.75%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3228 | Dis Loss (Avg): 2.0065 | Real Acc: 68.75% | Fake Acc: 93.75%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3244 | Dis Loss (Avg): 1.9944 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3297 | Dis Loss (Avg): 1.9780 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3279 | Dis Loss (Avg): 1.9763 | Real Acc: 25.00% | Fake Acc: 68.75%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3283 | Dis Loss (Avg): 1.9632 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3231 | Dis Loss (Avg): 1.9478 | Real Acc: 68.75% | Fake Acc: 68.75%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3412 | Dis Loss (Avg): 1.9338 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3550 | Dis Loss (Avg): 1.9254 | Real Acc: 43.75% | Fake Acc: 68.75%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3762 | Dis Loss (Avg): 1.9095 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3841 | Dis Loss (Avg): 1.9003 | Real Acc: 62.50% | Fake Acc: 93.75%
Time elapsed: 0.75 min
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3910 | Dis Loss (Avg): 1.8877 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3800 | Dis Loss (Avg): 1.8798 | Real Acc: 50.00% | Fake Acc: 56.25%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4013 | Dis Loss (Avg): 1.8671 | Real Acc: 87.50% | Fake Acc: 87.50%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3975 | Dis Loss (Avg): 1.8538 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3821 | Dis Loss (Avg): 1.8395 | Real Acc: 68.75% | Fake Acc: 56.25%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3836 | Dis Loss (Avg): 1.8305 | Real Acc: 93.75% | Fake Acc: 68.75%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3986 | Dis Loss (Avg): 1.8157 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3868 | Dis Loss (Avg): 1.8071 | Real Acc: 87.50% | Fake Acc: 50.00%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3826 | Dis Loss (Avg): 1.7948 | Real Acc: 75.00% | Fake Acc: 81.25%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3985 | Dis Loss (Avg): 1.7820 | Real Acc: 50.00% | Fake Acc: 62.50%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4034 | Dis Loss (Avg): 1.7889 | Real Acc: 100.00% | Fake Acc: 62.50%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3993 | Dis Loss (Avg): 1.7895 | Real Acc: 37.50% | Fake Acc: 81.25%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4094 | Dis Loss (Avg): 1.7807 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4079 | Dis Loss (Avg): 1.7692 | Real Acc: 43.75% | Fake Acc: 43.75%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4078 | Dis Loss (Avg): 1.7595 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4053 | Dis Loss (Avg): 1.7495 | Real Acc: 43.75% | Fake Acc: 87.50%
Time elapsed: 0.82 min
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.4459 | Dis Loss (Avg): 1.7348 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.4976 | Dis Loss (Avg): 1.7197 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5097 | Dis Loss (Avg): 1.7150 | Real Acc: 56.25% | Fake Acc: 93.75%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5423 | Dis Loss (Avg): 1.7071 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5442 | Dis Loss (Avg): 1.6947 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5618 | Dis Loss (Avg): 1.6820 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5963 | Dis Loss (Avg): 1.6676 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5711 | Dis Loss (Avg): 1.6576 | Real Acc: 56.25% | Fake Acc: 0.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5598 | Dis Loss (Avg): 1.6661 | Real Acc: 81.25% | Fake Acc: 43.75%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5784 | Dis Loss (Avg): 1.6584 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5786 | Dis Loss (Avg): 1.6458 | Real Acc: 75.00% | Fake Acc: 81.25%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5861 | Dis Loss (Avg): 1.6407 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5873 | Dis Loss (Avg): 1.6299 | Real Acc: 62.50% | Fake Acc: 93.75%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.6202 | Dis Loss (Avg): 1.6168 | Real Acc: 87.50% | Fake Acc: 93.75%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.6415 | Dis Loss (Avg): 1.6054 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.6926 | Dis Loss (Avg): 1.6038 | Real Acc: 50.00% | Fake Acc: 100.00%
Time elapsed: 0.89 min
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.6930 | Dis Loss (Avg): 1.5910 | Real Acc: 93.75% | Fake Acc: 81.25%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7142 | Dis Loss (Avg): 1.5819 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7101 | Dis Loss (Avg): 1.5743 | Real Acc: 68.75% | Fake Acc: 87.50%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7095 | Dis Loss (Avg): 1.5686 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7328 | Dis Loss (Avg): 1.5619 | Real Acc: 31.25% | Fake Acc: 100.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7560 | Dis Loss (Avg): 1.5561 | Real Acc: 75.00% | Fake Acc: 75.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7521 | Dis Loss (Avg): 1.5480 | Real Acc: 93.75% | Fake Acc: 81.25%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7906 | Dis Loss (Avg): 1.5358 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7842 | Dis Loss (Avg): 1.5289 | Real Acc: 68.75% | Fake Acc: 81.25%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7859 | Dis Loss (Avg): 1.5239 | Real Acc: 81.25% | Fake Acc: 93.75%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7687 | Dis Loss (Avg): 1.5161 | Real Acc: 50.00% | Fake Acc: 25.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7574 | Dis Loss (Avg): 1.5154 | Real Acc: 81.25% | Fake Acc: 81.25%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7652 | Dis Loss (Avg): 1.5071 | Real Acc: 56.25% | Fake Acc: 93.75%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7466 | Dis Loss (Avg): 1.4962 | Real Acc: 56.25% | Fake Acc: 31.25%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7901 | Dis Loss (Avg): 1.4882 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7964 | Dis Loss (Avg): 1.4790 | Real Acc: 62.50% | Fake Acc: 81.25%
Time elapsed: 0.96 min
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8074 | Dis Loss (Avg): 1.4710 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7853 | Dis Loss (Avg): 1.4642 | Real Acc: 50.00% | Fake Acc: 43.75%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7849 | Dis Loss (Avg): 1.4574 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7645 | Dis Loss (Avg): 1.4519 | Real Acc: 50.00% | Fake Acc: 56.25%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7622 | Dis Loss (Avg): 1.4448 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7945 | Dis Loss (Avg): 1.4326 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7910 | Dis Loss (Avg): 1.4230 | Real Acc: 75.00% | Fake Acc: 75.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7868 | Dis Loss (Avg): 1.4247 | Real Acc: 100.00% | Fake Acc: 87.50%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7977 | Dis Loss (Avg): 1.4211 | Real Acc: 37.50% | Fake Acc: 81.25%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7861 | Dis Loss (Avg): 1.4108 | Real Acc: 87.50% | Fake Acc: 62.50%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8352 | Dis Loss (Avg): 1.4038 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8360 | Dis Loss (Avg): 1.4001 | Real Acc: 68.75% | Fake Acc: 75.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8994 | Dis Loss (Avg): 1.3911 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8824 | Dis Loss (Avg): 1.3840 | Real Acc: 50.00% | Fake Acc: 56.25%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8868 | Dis Loss (Avg): 1.3794 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.9093 | Dis Loss (Avg): 1.3713 | Real Acc: 56.25% | Fake Acc: 87.50%
Time elapsed: 1.03 min
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 2.8952 | Dis Loss (Avg): 1.3692 | Real Acc: 75.00% | Fake Acc: 62.50%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 2.9497 | Dis Loss (Avg): 1.3635 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0469 | Dis Loss (Avg): 1.3556 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0354 | Dis Loss (Avg): 1.3673 | Real Acc: 43.75% | Fake Acc: 93.75%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0371 | Dis Loss (Avg): 1.3570 | Real Acc: 75.00% | Fake Acc: 93.75%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0328 | Dis Loss (Avg): 1.3578 | Real Acc: 87.50% | Fake Acc: 87.50%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0339 | Dis Loss (Avg): 1.3583 | Real Acc: 31.25% | Fake Acc: 56.25%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0289 | Dis Loss (Avg): 1.3514 | Real Acc: 68.75% | Fake Acc: 93.75%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0112 | Dis Loss (Avg): 1.3424 | Real Acc: 50.00% | Fake Acc: 75.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0102 | Dis Loss (Avg): 1.3382 | Real Acc: 56.25% | Fake Acc: 37.50%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0696 | Dis Loss (Avg): 1.3314 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0659 | Dis Loss (Avg): 1.3282 | Real Acc: 75.00% | Fake Acc: 81.25%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0720 | Dis Loss (Avg): 1.3201 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0861 | Dis Loss (Avg): 1.3236 | Real Acc: 31.25% | Fake Acc: 100.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.1175 | Dis Loss (Avg): 1.3221 | Real Acc: 56.25% | Fake Acc: 100.00%
Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.1181 | Dis Loss (Avg): 1.3244 | Real Acc: 31.25% | Fake Acc: 68.75%
Time elapsed: 1.09 min
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1676 | Dis Loss (Avg): 1.3366 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1621 | Dis Loss (Avg): 1.3310 | Real Acc: 62.50% | Fake Acc: 68.75%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2043 | Dis Loss (Avg): 1.3207 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1897 | Dis Loss (Avg): 1.3142 | Real Acc: 56.25% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2113 | Dis Loss (Avg): 1.3044 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2003 | Dis Loss (Avg): 1.2958 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1847 | Dis Loss (Avg): 1.2944 | Real Acc: 68.75% | Fake Acc: 62.50%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2006 | Dis Loss (Avg): 1.2901 | Real Acc: 81.25% | Fake Acc: 93.75%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1959 | Dis Loss (Avg): 1.2845 | Real Acc: 37.50% | Fake Acc: 93.75%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1929 | Dis Loss (Avg): 1.2798 | Real Acc: 68.75% | Fake Acc: 81.25%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2332 | Dis Loss (Avg): 1.2756 | Real Acc: 50.00% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2094 | Dis Loss (Avg): 1.2675 | Real Acc: 75.00% | Fake Acc: 50.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2772 | Dis Loss (Avg): 1.2603 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2617 | Dis Loss (Avg): 1.2600 | Real Acc: 31.25% | Fake Acc: 93.75%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2976 | Dis Loss (Avg): 1.2526 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2648 | Dis Loss (Avg): 1.2471 | Real Acc: 50.00% | Fake Acc: 0.00%
Time elapsed: 1.16 min
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2580 | Dis Loss (Avg): 1.2520 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2804 | Dis Loss (Avg): 1.2435 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2923 | Dis Loss (Avg): 1.2422 | Real Acc: 50.00% | Fake Acc: 68.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2912 | Dis Loss (Avg): 1.2395 | Real Acc: 56.25% | Fake Acc: 100.00%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2654 | Dis Loss (Avg): 1.2346 | Real Acc: 31.25% | Fake Acc: 37.50%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2872 | Dis Loss (Avg): 1.2285 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2587 | Dis Loss (Avg): 1.2220 | Real Acc: 50.00% | Fake Acc: 12.50%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2873 | Dis Loss (Avg): 1.2263 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2957 | Dis Loss (Avg): 1.2220 | Real Acc: 75.00% | Fake Acc: 93.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3041 | Dis Loss (Avg): 1.2256 | Real Acc: 25.00% | Fake Acc: 87.50%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3954 | Dis Loss (Avg): 1.2170 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3797 | Dis Loss (Avg): 1.2189 | Real Acc: 31.25% | Fake Acc: 56.25%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3772 | Dis Loss (Avg): 1.2155 | Real Acc: 93.75% | Fake Acc: 93.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3900 | Dis Loss (Avg): 1.2137 | Real Acc: 62.50% | Fake Acc: 100.00%
[I 2025-01-13 12:39:45,497] Trial 9 finished with value: 1.207851473047716 and parameters: {'latent_dim': 192, 'lr_gen': 0.007949816826374323, 'lr_discr': 0.001811934400052134, 'batch_size': 16, 'num_epochs': 18}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3861 | Dis Loss (Avg): 1.2062 | Real Acc: 50.00% | Fake Acc: 43.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3958 | Dis Loss (Avg): 1.2079 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 1.23 min
Total Training Time: 1.23 min
Best hyperparameters: {'latent_dim': 189, 'lr_gen': 0.001221490964348859, 'lr_discr': 0.0003257527184873621, 'batch_size': 49, 'num_epochs': 6}
In [41]:
optuna.visualization.plot_optimization_history(study)
In [42]:
log_dict_gan = train_gan_v1(num_epochs=GAN_EPOCHS, model=modelGAN, 
                        optimizer_gen=optim_gen,
                        optimizer_discr=optim_discr,
                        latent_dim=189,
                        device=device, 
                        train_loader=train_loader,
                        logging_interval=100,
                        save_model='gan_mnist_01.pt')
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0073 | Dis Loss (Avg): 0.0069 | Real Acc: 68.75% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0151 | Dis Loss (Avg): 0.0127 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0234 | Dis Loss (Avg): 0.0187 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0324 | Dis Loss (Avg): 0.0242 | Real Acc: 75.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0423 | Dis Loss (Avg): 0.0279 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0531 | Dis Loss (Avg): 0.0302 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0651 | Dis Loss (Avg): 0.0320 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0784 | Dis Loss (Avg): 0.0337 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0929 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1089 | Dis Loss (Avg): 0.0357 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1264 | Dis Loss (Avg): 0.0364 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1451 | Dis Loss (Avg): 0.0370 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1652 | Dis Loss (Avg): 0.0376 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1865 | Dis Loss (Avg): 0.0379 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.2090 | Dis Loss (Avg): 0.0381 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.2326 | Dis Loss (Avg): 0.0383 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.07 min
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.2572 | Dis Loss (Avg): 0.0384 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.2826 | Dis Loss (Avg): 0.0384 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3089 | Dis Loss (Avg): 0.0383 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3359 | Dis Loss (Avg): 0.0384 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3635 | Dis Loss (Avg): 0.0383 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3916 | Dis Loss (Avg): 0.0382 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.4202 | Dis Loss (Avg): 0.0380 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.4493 | Dis Loss (Avg): 0.0379 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.4787 | Dis Loss (Avg): 0.0377 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5085 | Dis Loss (Avg): 0.0376 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5386 | Dis Loss (Avg): 0.0374 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5690 | Dis Loss (Avg): 0.0372 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5996 | Dis Loss (Avg): 0.0370 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.6304 | Dis Loss (Avg): 0.0367 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.6614 | Dis Loss (Avg): 0.0365 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.6925 | Dis Loss (Avg): 0.0363 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.14 min
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.7237 | Dis Loss (Avg): 0.0362 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.7551 | Dis Loss (Avg): 0.0359 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.7866 | Dis Loss (Avg): 0.0357 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.8181 | Dis Loss (Avg): 0.0355 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.8494 | Dis Loss (Avg): 0.0353 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.8809 | Dis Loss (Avg): 0.0351 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.9123 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.9437 | Dis Loss (Avg): 0.0346 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.9749 | Dis Loss (Avg): 0.0345 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0061 | Dis Loss (Avg): 0.0342 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0371 | Dis Loss (Avg): 0.0340 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0682 | Dis Loss (Avg): 0.0338 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0987 | Dis Loss (Avg): 0.0337 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.1290 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.1590 | Dis Loss (Avg): 0.0333 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.1888 | Dis Loss (Avg): 0.0330 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.21 min
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.2184 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.2474 | Dis Loss (Avg): 0.0331 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.2759 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3043 | Dis Loss (Avg): 0.0327 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3308 | Dis Loss (Avg): 0.0327 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3565 | Dis Loss (Avg): 0.0326 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3816 | Dis Loss (Avg): 0.0323 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4054 | Dis Loss (Avg): 0.0324 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4286 | Dis Loss (Avg): 0.0322 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.0350 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4715 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4922 | Dis Loss (Avg): 0.0346 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5127 | Dis Loss (Avg): 0.0344 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5328 | Dis Loss (Avg): 0.0343 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5528 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5724 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.28 min
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.5917 | Dis Loss (Avg): 0.0339 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6105 | Dis Loss (Avg): 0.0337 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6295 | Dis Loss (Avg): 0.0336 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6476 | Dis Loss (Avg): 0.0337 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6648 | Dis Loss (Avg): 0.0336 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6817 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6985 | Dis Loss (Avg): 0.0334 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7150 | Dis Loss (Avg): 0.0332 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7311 | Dis Loss (Avg): 0.0331 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7470 | Dis Loss (Avg): 0.0330 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7629 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7780 | Dis Loss (Avg): 0.0327 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7932 | Dis Loss (Avg): 0.0326 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.8085 | Dis Loss (Avg): 0.0325 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.8234 | Dis Loss (Avg): 0.0324 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.8377 | Dis Loss (Avg): 0.0323 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.35 min
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8525 | Dis Loss (Avg): 0.0321 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8663 | Dis Loss (Avg): 0.0320 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8804 | Dis Loss (Avg): 0.0319 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8945 | Dis Loss (Avg): 0.0318 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9081 | Dis Loss (Avg): 0.0317 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9213 | Dis Loss (Avg): 0.0316 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9343 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9471 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9611 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9736 | Dis Loss (Avg): 0.0318 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9850 | Dis Loss (Avg): 0.0317 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9970 | Dis Loss (Avg): 0.0316 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0093 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0199 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0309 | Dis Loss (Avg): 0.0314 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0422 | Dis Loss (Avg): 0.0314 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.42 min
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0521 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0629 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0737 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0837 | Dis Loss (Avg): 0.0312 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0930 | Dis Loss (Avg): 0.0336 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1024 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1100 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1160 | Dis Loss (Avg): 0.0341 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1220 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1282 | Dis Loss (Avg): 0.0342 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1337 | Dis Loss (Avg): 0.0342 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1399 | Dis Loss (Avg): 0.0343 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1450 | Dis Loss (Avg): 0.0344 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1490 | Dis Loss (Avg): 0.0407 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1510 | Dis Loss (Avg): 0.0408 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1525 | Dis Loss (Avg): 0.0410 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.50 min
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1549 | Dis Loss (Avg): 0.0412 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1574 | Dis Loss (Avg): 0.0413 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1608 | Dis Loss (Avg): 0.0414 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1633 | Dis Loss (Avg): 0.0417 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1660 | Dis Loss (Avg): 0.0418 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1688 | Dis Loss (Avg): 0.0420 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1721 | Dis Loss (Avg): 0.0421 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1753 | Dis Loss (Avg): 0.0422 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1792 | Dis Loss (Avg): 0.0423 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1828 | Dis Loss (Avg): 0.0423 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1868 | Dis Loss (Avg): 0.0424 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1907 | Dis Loss (Avg): 0.0425 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1944 | Dis Loss (Avg): 0.0426 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1983 | Dis Loss (Avg): 0.0426 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.2033 | Dis Loss (Avg): 0.0426 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.2071 | Dis Loss (Avg): 0.0427 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.56 min
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2109 | Dis Loss (Avg): 0.0428 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2144 | Dis Loss (Avg): 0.0428 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2187 | Dis Loss (Avg): 0.0429 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2228 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2272 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2323 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2368 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2416 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2466 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2522 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2570 | Dis Loss (Avg): 0.0429 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2618 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2663 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2707 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2751 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2794 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.63 min
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2842 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2888 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2926 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2969 | Dis Loss (Avg): 0.0432 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3009 | Dis Loss (Avg): 0.0432 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3053 | Dis Loss (Avg): 0.0432 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3085 | Dis Loss (Avg): 0.0433 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3119 | Dis Loss (Avg): 0.0433 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3156 | Dis Loss (Avg): 0.0434 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3185 | Dis Loss (Avg): 0.0435 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3210 | Dis Loss (Avg): 0.0436 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3232 | Dis Loss (Avg): 0.0437 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3251 | Dis Loss (Avg): 0.0439 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3270 | Dis Loss (Avg): 0.0440 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3285 | Dis Loss (Avg): 0.0442 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3297 | Dis Loss (Avg): 0.0444 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.70 min
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3310 | Dis Loss (Avg): 0.0445 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3315 | Dis Loss (Avg): 0.0453 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3316 | Dis Loss (Avg): 0.0456 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3312 | Dis Loss (Avg): 0.0458 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3291 | Dis Loss (Avg): 0.0531 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3261 | Dis Loss (Avg): 0.0535 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3227 | Dis Loss (Avg): 0.0539 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3189 | Dis Loss (Avg): 0.0544 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3153 | Dis Loss (Avg): 0.0549 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3114 | Dis Loss (Avg): 0.0554 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3073 | Dis Loss (Avg): 0.0560 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3032 | Dis Loss (Avg): 0.0565 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2985 | Dis Loss (Avg): 0.0574 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2930 | Dis Loss (Avg): 0.0581 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2880 | Dis Loss (Avg): 0.0588 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2825 | Dis Loss (Avg): 0.0594 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.77 min
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2760 | Dis Loss (Avg): 0.0635 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2692 | Dis Loss (Avg): 0.0643 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2625 | Dis Loss (Avg): 0.0727 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2554 | Dis Loss (Avg): 0.0734 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2479 | Dis Loss (Avg): 0.0743 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2397 | Dis Loss (Avg): 0.0849 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2308 | Dis Loss (Avg): 0.0858 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2222 | Dis Loss (Avg): 0.0868 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2135 | Dis Loss (Avg): 0.0877 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2041 | Dis Loss (Avg): 0.0888 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1949 | Dis Loss (Avg): 0.0899 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1865 | Dis Loss (Avg): 0.0908 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1776 | Dis Loss (Avg): 0.0967 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1685 | Dis Loss (Avg): 0.0978 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1592 | Dis Loss (Avg): 0.0991 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1494 | Dis Loss (Avg): 0.1002 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.84 min
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1401 | Dis Loss (Avg): 0.1012 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1306 | Dis Loss (Avg): 0.1023 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1218 | Dis Loss (Avg): 0.1033 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1122 | Dis Loss (Avg): 0.1045 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1042 | Dis Loss (Avg): 0.1053 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0959 | Dis Loss (Avg): 0.1061 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0879 | Dis Loss (Avg): 0.1069 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0799 | Dis Loss (Avg): 0.1077 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0728 | Dis Loss (Avg): 0.1084 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0656 | Dis Loss (Avg): 0.1091 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0589 | Dis Loss (Avg): 0.1097 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0529 | Dis Loss (Avg): 0.1101 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0463 | Dis Loss (Avg): 0.1163 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0398 | Dis Loss (Avg): 0.1168 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0337 | Dis Loss (Avg): 0.1172 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0271 | Dis Loss (Avg): 0.1178 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.91 min
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0207 | Dis Loss (Avg): 0.1208 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0138 | Dis Loss (Avg): 0.1213 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0073 | Dis Loss (Avg): 0.1219 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0009 | Dis Loss (Avg): 0.1225 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9950 | Dis Loss (Avg): 0.1233 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9890 | Dis Loss (Avg): 0.1248 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9818 | Dis Loss (Avg): 0.1255 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9751 | Dis Loss (Avg): 0.1261 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9677 | Dis Loss (Avg): 0.1270 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9607 | Dis Loss (Avg): 0.1278 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9524 | Dis Loss (Avg): 0.1309 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9437 | Dis Loss (Avg): 0.1321 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9348 | Dis Loss (Avg): 0.1334 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9262 | Dis Loss (Avg): 0.1347 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9180 | Dis Loss (Avg): 0.1358 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9098 | Dis Loss (Avg): 0.1370 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 0.98 min
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.9023 | Dis Loss (Avg): 0.1378 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8950 | Dis Loss (Avg): 0.1387 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8880 | Dis Loss (Avg): 0.1395 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8815 | Dis Loss (Avg): 0.1401 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8754 | Dis Loss (Avg): 0.1407 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8697 | Dis Loss (Avg): 0.1411 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8644 | Dis Loss (Avg): 0.1415 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8593 | Dis Loss (Avg): 0.1425 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8544 | Dis Loss (Avg): 0.1427 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8498 | Dis Loss (Avg): 0.1430 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8455 | Dis Loss (Avg): 0.1432 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8416 | Dis Loss (Avg): 0.1433 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8378 | Dis Loss (Avg): 0.1436 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8319 | Dis Loss (Avg): 0.1456 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8252 | Dis Loss (Avg): 0.1529 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8186 | Dis Loss (Avg): 0.1536 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.05 min
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.8121 | Dis Loss (Avg): 0.1544 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.8061 | Dis Loss (Avg): 0.1551 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.8005 | Dis Loss (Avg): 0.1557 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7949 | Dis Loss (Avg): 0.1589 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7893 | Dis Loss (Avg): 0.1594 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7841 | Dis Loss (Avg): 0.1598 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7790 | Dis Loss (Avg): 0.1602 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7723 | Dis Loss (Avg): 0.1617 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7648 | Dis Loss (Avg): 0.1626 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7575 | Dis Loss (Avg): 0.1636 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7506 | Dis Loss (Avg): 0.1646 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7443 | Dis Loss (Avg): 0.1654 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7383 | Dis Loss (Avg): 0.1661 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7329 | Dis Loss (Avg): 0.1666 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7279 | Dis Loss (Avg): 0.1670 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7232 | Dis Loss (Avg): 0.1673 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.11 min
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7176 | Dis Loss (Avg): 0.1701 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7121 | Dis Loss (Avg): 0.1705 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7067 | Dis Loss (Avg): 0.1710 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7012 | Dis Loss (Avg): 0.1715 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6960 | Dis Loss (Avg): 0.1719 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6888 | Dis Loss (Avg): 0.1767 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6813 | Dis Loss (Avg): 0.1776 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6722 | Dis Loss (Avg): 0.1819 | Real Acc: 93.75% | Fake Acc: 87.50%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6629 | Dis Loss (Avg): 0.1839 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6540 | Dis Loss (Avg): 0.1858 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6462 | Dis Loss (Avg): 0.1873 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6389 | Dis Loss (Avg): 0.1885 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6322 | Dis Loss (Avg): 0.1895 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6259 | Dis Loss (Avg): 0.1904 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6202 | Dis Loss (Avg): 0.1910 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6148 | Dis Loss (Avg): 0.1915 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.18 min
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.6098 | Dis Loss (Avg): 0.1919 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.6050 | Dis Loss (Avg): 0.1922 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5995 | Dis Loss (Avg): 0.1952 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5938 | Dis Loss (Avg): 0.1956 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5883 | Dis Loss (Avg): 0.1962 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5827 | Dis Loss (Avg): 0.2055 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5774 | Dis Loss (Avg): 0.2059 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5724 | Dis Loss (Avg): 0.2062 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5677 | Dis Loss (Avg): 0.2065 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5632 | Dis Loss (Avg): 0.2068 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5576 | Dis Loss (Avg): 0.2079 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5518 | Dis Loss (Avg): 0.2084 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5463 | Dis Loss (Avg): 0.2090 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5414 | Dis Loss (Avg): 0.2094 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5369 | Dis Loss (Avg): 0.2098 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5332 | Dis Loss (Avg): 0.2100 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.25 min
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5298 | Dis Loss (Avg): 0.2100 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5270 | Dis Loss (Avg): 0.2098 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5234 | Dis Loss (Avg): 0.2192 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5200 | Dis Loss (Avg): 0.2190 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5170 | Dis Loss (Avg): 0.2188 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5144 | Dis Loss (Avg): 0.2186 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5121 | Dis Loss (Avg): 0.2183 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5104 | Dis Loss (Avg): 0.2178 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5090 | Dis Loss (Avg): 0.2173 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5075 | Dis Loss (Avg): 0.2168 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5063 | Dis Loss (Avg): 0.2163 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5051 | Dis Loss (Avg): 0.2157 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5041 | Dis Loss (Avg): 0.2152 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5031 | Dis Loss (Avg): 0.2146 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5002 | Dis Loss (Avg): 0.2161 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.4961 | Dis Loss (Avg): 0.2160 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.32 min
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4917 | Dis Loss (Avg): 0.2161 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4877 | Dis Loss (Avg): 0.2163 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4838 | Dis Loss (Avg): 0.2165 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4802 | Dis Loss (Avg): 0.2167 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4768 | Dis Loss (Avg): 0.2167 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4725 | Dis Loss (Avg): 0.2247 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4682 | Dis Loss (Avg): 0.2248 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4636 | Dis Loss (Avg): 0.2250 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4594 | Dis Loss (Avg): 0.2252 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4551 | Dis Loss (Avg): 0.2254 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4498 | Dis Loss (Avg): 0.2291 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4440 | Dis Loss (Avg): 0.2295 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4381 | Dis Loss (Avg): 0.2301 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4321 | Dis Loss (Avg): 0.2309 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4264 | Dis Loss (Avg): 0.2316 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4198 | Dis Loss (Avg): 0.2351 | Real Acc: 87.50% | Fake Acc: 100.00%
Time elapsed: 1.38 min
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.4131 | Dis Loss (Avg): 0.2360 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.4066 | Dis Loss (Avg): 0.2370 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.4004 | Dis Loss (Avg): 0.2379 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3947 | Dis Loss (Avg): 0.2387 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3896 | Dis Loss (Avg): 0.2392 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3847 | Dis Loss (Avg): 0.2397 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3803 | Dis Loss (Avg): 0.2400 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3752 | Dis Loss (Avg): 0.2421 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3699 | Dis Loss (Avg): 0.2425 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3650 | Dis Loss (Avg): 0.2429 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3603 | Dis Loss (Avg): 0.2433 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3561 | Dis Loss (Avg): 0.2435 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3523 | Dis Loss (Avg): 0.2437 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3475 | Dis Loss (Avg): 0.2448 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3426 | Dis Loss (Avg): 0.2451 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3378 | Dis Loss (Avg): 0.2456 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.45 min
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3333 | Dis Loss (Avg): 0.2459 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3291 | Dis Loss (Avg): 0.2462 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3253 | Dis Loss (Avg): 0.2464 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3218 | Dis Loss (Avg): 0.2464 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3187 | Dis Loss (Avg): 0.2471 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3160 | Dis Loss (Avg): 0.2469 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3136 | Dis Loss (Avg): 0.2467 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3114 | Dis Loss (Avg): 0.2464 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3093 | Dis Loss (Avg): 0.2460 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3075 | Dis Loss (Avg): 0.2456 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3046 | Dis Loss (Avg): 0.2512 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3012 | Dis Loss (Avg): 0.2510 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2968 | Dis Loss (Avg): 0.2530 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2920 | Dis Loss (Avg): 0.2534 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2873 | Dis Loss (Avg): 0.2538 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2826 | Dis Loss (Avg): 0.2543 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.52 min
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2783 | Dis Loss (Avg): 0.2547 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2741 | Dis Loss (Avg): 0.2551 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2704 | Dis Loss (Avg): 0.2553 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2667 | Dis Loss (Avg): 0.2556 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2633 | Dis Loss (Avg): 0.2557 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2599 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2567 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2537 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2509 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2482 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2450 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2419 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2389 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2359 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2330 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2290 | Dis Loss (Avg): 0.2626 | Real Acc: 87.50% | Fake Acc: 100.00%
Time elapsed: 1.59 min
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2242 | Dis Loss (Avg): 0.2632 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2185 | Dis Loss (Avg): 0.2670 | Real Acc: 93.75% | Fake Acc: 6.25%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2126 | Dis Loss (Avg): 0.2681 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2067 | Dis Loss (Avg): 0.2694 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2011 | Dis Loss (Avg): 0.2705 | Real Acc: 100.00% | Fake Acc: 6.25%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1958 | Dis Loss (Avg): 0.2716 | Real Acc: 100.00% | Fake Acc: 6.25%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1909 | Dis Loss (Avg): 0.2726 | Real Acc: 100.00% | Fake Acc: 62.50%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1862 | Dis Loss (Avg): 0.2733 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1820 | Dis Loss (Avg): 0.2739 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1782 | Dis Loss (Avg): 0.2744 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1748 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1717 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1689 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1665 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1643 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1613 | Dis Loss (Avg): 0.2747 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.66 min
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1582 | Dis Loss (Avg): 0.2747 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1550 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1522 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1496 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1474 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1456 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1441 | Dis Loss (Avg): 0.2743 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1429 | Dis Loss (Avg): 0.2739 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1420 | Dis Loss (Avg): 0.2734 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1408 | Dis Loss (Avg): 0.2762 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1384 | Dis Loss (Avg): 0.2763 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1356 | Dis Loss (Avg): 0.2762 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1326 | Dis Loss (Avg): 0.2764 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1298 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1273 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1250 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.73 min
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1231 | Dis Loss (Avg): 0.2765 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1215 | Dis Loss (Avg): 0.2763 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1202 | Dis Loss (Avg): 0.2760 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1192 | Dis Loss (Avg): 0.2756 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1181 | Dis Loss (Avg): 0.2752 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1166 | Dis Loss (Avg): 0.2751 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1150 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1137 | Dis Loss (Avg): 0.2745 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1124 | Dis Loss (Avg): 0.2742 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1115 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1098 | Dis Loss (Avg): 0.2742 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1079 | Dis Loss (Avg): 0.2740 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1061 | Dis Loss (Avg): 0.2739 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1031 | Dis Loss (Avg): 0.2753 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.0997 | Dis Loss (Avg): 0.2756 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.0963 | Dis Loss (Avg): 0.2761 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.80 min
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0931 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0902 | Dis Loss (Avg): 0.2770 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0877 | Dis Loss (Avg): 0.2773 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0855 | Dis Loss (Avg): 0.2775 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0837 | Dis Loss (Avg): 0.2775 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0821 | Dis Loss (Avg): 0.2775 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0808 | Dis Loss (Avg): 0.2773 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0799 | Dis Loss (Avg): 0.2770 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0793 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0788 | Dis Loss (Avg): 0.2762 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0770 | Dis Loss (Avg): 0.2770 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0746 | Dis Loss (Avg): 0.2770 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0720 | Dis Loss (Avg): 0.2772 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0691 | Dis Loss (Avg): 0.2777 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0661 | Dis Loss (Avg): 0.2782 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0622 | Dis Loss (Avg): 0.2807 | Real Acc: 87.50% | Fake Acc: 12.50%
Time elapsed: 1.87 min
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0580 | Dis Loss (Avg): 0.2817 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0539 | Dis Loss (Avg): 0.2828 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0500 | Dis Loss (Avg): 0.2839 | Real Acc: 100.00% | Fake Acc: 0.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0466 | Dis Loss (Avg): 0.2848 | Real Acc: 100.00% | Fake Acc: 75.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0435 | Dis Loss (Avg): 0.2855 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0408 | Dis Loss (Avg): 0.2860 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0386 | Dis Loss (Avg): 0.2863 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0367 | Dis Loss (Avg): 0.2865 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0353 | Dis Loss (Avg): 0.2865 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0343 | Dis Loss (Avg): 0.2864 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0336 | Dis Loss (Avg): 0.2861 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0335 | Dis Loss (Avg): 0.2857 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0324 | Dis Loss (Avg): 0.2918 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0301 | Dis Loss (Avg): 0.2928 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0274 | Dis Loss (Avg): 0.2930 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0248 | Dis Loss (Avg): 0.2933 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 1.94 min
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0226 | Dis Loss (Avg): 0.2935 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0206 | Dis Loss (Avg): 0.2937 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0191 | Dis Loss (Avg): 0.2937 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0180 | Dis Loss (Avg): 0.2935 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0173 | Dis Loss (Avg): 0.2932 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0169 | Dis Loss (Avg): 0.2928 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0169 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0172 | Dis Loss (Avg): 0.2917 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0180 | Dis Loss (Avg): 0.2909 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2901 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0187 | Dis Loss (Avg): 0.2934 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0180 | Dis Loss (Avg): 0.2928 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0173 | Dis Loss (Avg): 0.2924 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0168 | Dis Loss (Avg): 0.2920 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0167 | Dis Loss (Avg): 0.2915 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0169 | Dis Loss (Avg): 0.2909 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.01 min
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0172 | Dis Loss (Avg): 0.2904 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0177 | Dis Loss (Avg): 0.2897 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0185 | Dis Loss (Avg): 0.2889 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0186 | Dis Loss (Avg): 0.2897 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0186 | Dis Loss (Avg): 0.2891 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0186 | Dis Loss (Avg): 0.2886 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2880 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2875 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0189 | Dis Loss (Avg): 0.2871 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2866 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0193 | Dis Loss (Avg): 0.2861 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0201 | Dis Loss (Avg): 0.2855 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0212 | Dis Loss (Avg): 0.2849 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0226 | Dis Loss (Avg): 0.2841 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0240 | Dis Loss (Avg): 0.2833 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0231 | Dis Loss (Avg): 0.2872 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 2.08 min
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0215 | Dis Loss (Avg): 0.2870 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0189 | Dis Loss (Avg): 0.2903 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0163 | Dis Loss (Avg): 0.2908 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0141 | Dis Loss (Avg): 0.2912 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0124 | Dis Loss (Avg): 0.2915 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0113 | Dis Loss (Avg): 0.2915 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0108 | Dis Loss (Avg): 0.2913 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0107 | Dis Loss (Avg): 0.2910 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0113 | Dis Loss (Avg): 0.2905 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0103 | Dis Loss (Avg): 0.2925 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0074 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0064 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0060 | Dis Loss (Avg): 0.2920 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0060 | Dis Loss (Avg): 0.2917 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0064 | Dis Loss (Avg): 0.2912 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.15 min
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0074 | Dis Loss (Avg): 0.2906 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.2898 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.3152 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0084 | Dis Loss (Avg): 0.3144 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0082 | Dis Loss (Avg): 0.3138 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0083 | Dis Loss (Avg): 0.3131 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.3123 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0089 | Dis Loss (Avg): 0.3116 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0090 | Dis Loss (Avg): 0.3109 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0081 | Dis Loss (Avg): 0.3121 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0070 | Dis Loss (Avg): 0.3117 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0060 | Dis Loss (Avg): 0.3114 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0041 | Dis Loss (Avg): 0.3117 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0020 | Dis Loss (Avg): 0.3118 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0002 | Dis Loss (Avg): 0.3119 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 0.9982 | Dis Loss (Avg): 0.3125 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 2.22 min
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9964 | Dis Loss (Avg): 0.3125 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9952 | Dis Loss (Avg): 0.3124 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9944 | Dis Loss (Avg): 0.3122 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9942 | Dis Loss (Avg): 0.3117 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9944 | Dis Loss (Avg): 0.3111 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9952 | Dis Loss (Avg): 0.3103 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9963 | Dis Loss (Avg): 0.3094 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9959 | Dis Loss (Avg): 0.3094 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9937 | Dis Loss (Avg): 0.3095 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9911 | Dis Loss (Avg): 0.3097 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9886 | Dis Loss (Avg): 0.3101 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9867 | Dis Loss (Avg): 0.3104 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9853 | Dis Loss (Avg): 0.3105 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9845 | Dis Loss (Avg): 0.3104 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9843 | Dis Loss (Avg): 0.3101 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9846 | Dis Loss (Avg): 0.3095 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.29 min
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9854 | Dis Loss (Avg): 0.3087 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9867 | Dis Loss (Avg): 0.3079 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9864 | Dis Loss (Avg): 0.3115 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9852 | Dis Loss (Avg): 0.3139 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9835 | Dis Loss (Avg): 0.3142 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9821 | Dis Loss (Avg): 0.3142 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9810 | Dis Loss (Avg): 0.3141 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9804 | Dis Loss (Avg): 0.3138 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9804 | Dis Loss (Avg): 0.3133 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9806 | Dis Loss (Avg): 0.3128 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9812 | Dis Loss (Avg): 0.3121 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9809 | Dis Loss (Avg): 0.3166 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9805 | Dis Loss (Avg): 0.3160 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9803 | Dis Loss (Avg): 0.3154 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9805 | Dis Loss (Avg): 0.3148 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9800 | Dis Loss (Avg): 0.3162 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 2.36 min
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9794 | Dis Loss (Avg): 0.3160 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9790 | Dis Loss (Avg): 0.3155 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9790 | Dis Loss (Avg): 0.3149 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9785 | Dis Loss (Avg): 0.3189 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9780 | Dis Loss (Avg): 0.3183 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9778 | Dis Loss (Avg): 0.3177 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9778 | Dis Loss (Avg): 0.3171 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9783 | Dis Loss (Avg): 0.3163 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9792 | Dis Loss (Avg): 0.3155 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9804 | Dis Loss (Avg): 0.3145 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9817 | Dis Loss (Avg): 0.3135 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9832 | Dis Loss (Avg): 0.3124 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9848 | Dis Loss (Avg): 0.3113 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9866 | Dis Loss (Avg): 0.3102 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9888 | Dis Loss (Avg): 0.3090 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9913 | Dis Loss (Avg): 0.3077 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.43 min
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9924 | Dis Loss (Avg): 0.3101 | Real Acc: 81.25% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9927 | Dis Loss (Avg): 0.3092 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9930 | Dis Loss (Avg): 0.3085 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9932 | Dis Loss (Avg): 0.3079 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9935 | Dis Loss (Avg): 0.3073 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9939 | Dis Loss (Avg): 0.3066 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9945 | Dis Loss (Avg): 0.3060 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9937 | Dis Loss (Avg): 0.3069 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9927 | Dis Loss (Avg): 0.3066 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9919 | Dis Loss (Avg): 0.3063 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9915 | Dis Loss (Avg): 0.3060 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9918 | Dis Loss (Avg): 0.3054 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9927 | Dis Loss (Avg): 0.3047 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9942 | Dis Loss (Avg): 0.3038 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9963 | Dis Loss (Avg): 0.3028 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9987 | Dis Loss (Avg): 0.3016 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.49 min
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0013 | Dis Loss (Avg): 0.3004 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0023 | Dis Loss (Avg): 0.3051 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0027 | Dis Loss (Avg): 0.3042 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0032 | Dis Loss (Avg): 0.3035 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0039 | Dis Loss (Avg): 0.3027 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0050 | Dis Loss (Avg): 0.3019 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0064 | Dis Loss (Avg): 0.3010 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0082 | Dis Loss (Avg): 0.3000 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0101 | Dis Loss (Avg): 0.2991 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0122 | Dis Loss (Avg): 0.2980 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0124 | Dis Loss (Avg): 0.2984 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0121 | Dis Loss (Avg): 0.2978 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0118 | Dis Loss (Avg): 0.2973 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0120 | Dis Loss (Avg): 0.2968 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0126 | Dis Loss (Avg): 0.2962 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0137 | Dis Loss (Avg): 0.2954 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.56 min
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0153 | Dis Loss (Avg): 0.2946 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0153 | Dis Loss (Avg): 0.2969 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0150 | Dis Loss (Avg): 0.2963 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0143 | Dis Loss (Avg): 0.2961 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0137 | Dis Loss (Avg): 0.2958 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0136 | Dis Loss (Avg): 0.2954 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0142 | Dis Loss (Avg): 0.2948 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0152 | Dis Loss (Avg): 0.2941 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0167 | Dis Loss (Avg): 0.2932 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0188 | Dis Loss (Avg): 0.2922 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0212 | Dis Loss (Avg): 0.2911 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0240 | Dis Loss (Avg): 0.2899 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0273 | Dis Loss (Avg): 0.2887 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0308 | Dis Loss (Avg): 0.2873 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0347 | Dis Loss (Avg): 0.2860 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0388 | Dis Loss (Avg): 0.2846 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.63 min
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0409 | Dis Loss (Avg): 0.2932 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0423 | Dis Loss (Avg): 0.2920 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0411 | Dis Loss (Avg): 0.2979 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0392 | Dis Loss (Avg): 0.2976 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0371 | Dis Loss (Avg): 0.2977 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0356 | Dis Loss (Avg): 0.2977 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0348 | Dis Loss (Avg): 0.2975 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0345 | Dis Loss (Avg): 0.2972 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0344 | Dis Loss (Avg): 0.2977 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0346 | Dis Loss (Avg): 0.2971 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0352 | Dis Loss (Avg): 0.2964 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0363 | Dis Loss (Avg): 0.2955 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0379 | Dis Loss (Avg): 0.2946 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0392 | Dis Loss (Avg): 0.2947 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0405 | Dis Loss (Avg): 0.2937 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0422 | Dis Loss (Avg): 0.2927 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.70 min
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0441 | Dis Loss (Avg): 0.2917 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0444 | Dis Loss (Avg): 0.2932 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0443 | Dis Loss (Avg): 0.2925 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0442 | Dis Loss (Avg): 0.2919 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0444 | Dis Loss (Avg): 0.2912 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0452 | Dis Loss (Avg): 0.2905 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0464 | Dis Loss (Avg): 0.2896 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0481 | Dis Loss (Avg): 0.2887 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0501 | Dis Loss (Avg): 0.2876 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0526 | Dis Loss (Avg): 0.2865 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0538 | Dis Loss (Avg): 0.2860 | Real Acc: 87.50% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0545 | Dis Loss (Avg): 0.2850 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0554 | Dis Loss (Avg): 0.2842 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0565 | Dis Loss (Avg): 0.2834 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0580 | Dis Loss (Avg): 0.2825 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0599 | Dis Loss (Avg): 0.2815 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.77 min
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0624 | Dis Loss (Avg): 0.2805 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0650 | Dis Loss (Avg): 0.2793 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0681 | Dis Loss (Avg): 0.2781 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0717 | Dis Loss (Avg): 0.2768 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0754 | Dis Loss (Avg): 0.2755 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0795 | Dis Loss (Avg): 0.2741 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0838 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0867 | Dis Loss (Avg): 0.2760 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0891 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0909 | Dis Loss (Avg): 0.2745 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0923 | Dis Loss (Avg): 0.2736 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0936 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0928 | Dis Loss (Avg): 0.2741 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0913 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0898 | Dis Loss (Avg): 0.2737 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0886 | Dis Loss (Avg): 0.2736 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.84 min
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0878 | Dis Loss (Avg): 0.2734 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0875 | Dis Loss (Avg): 0.2731 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0875 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0879 | Dis Loss (Avg): 0.2721 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2719 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0885 | Dis Loss (Avg): 0.2713 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0890 | Dis Loss (Avg): 0.2707 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0899 | Dis Loss (Avg): 0.2700 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0911 | Dis Loss (Avg): 0.2692 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0912 | Dis Loss (Avg): 0.2688 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0908 | Dis Loss (Avg): 0.2683 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0904 | Dis Loss (Avg): 0.2679 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0903 | Dis Loss (Avg): 0.2675 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0906 | Dis Loss (Avg): 0.2670 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0912 | Dis Loss (Avg): 0.2665 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0921 | Dis Loss (Avg): 0.2658 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.91 min
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0918 | Dis Loss (Avg): 0.2716 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0896 | Dis Loss (Avg): 0.2723 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0870 | Dis Loss (Avg): 0.2725 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0846 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0826 | Dis Loss (Avg): 0.2729 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0811 | Dis Loss (Avg): 0.2729 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0802 | Dis Loss (Avg): 0.2728 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0798 | Dis Loss (Avg): 0.2724 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0799 | Dis Loss (Avg): 0.2719 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0803 | Dis Loss (Avg): 0.2713 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0812 | Dis Loss (Avg): 0.2706 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0824 | Dis Loss (Avg): 0.2698 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0839 | Dis Loss (Avg): 0.2689 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0858 | Dis Loss (Avg): 0.2680 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2670 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0906 | Dis Loss (Avg): 0.2659 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 2.98 min
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0921 | Dis Loss (Avg): 0.2663 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0931 | Dis Loss (Avg): 0.2655 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0923 | Dis Loss (Avg): 0.2661 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0909 | Dis Loss (Avg): 0.2658 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0896 | Dis Loss (Avg): 0.2656 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0887 | Dis Loss (Avg): 0.2655 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2652 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2648 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0885 | Dis Loss (Avg): 0.2643 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0894 | Dis Loss (Avg): 0.2636 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0905 | Dis Loss (Avg): 0.2629 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0921 | Dis Loss (Avg): 0.2621 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0940 | Dis Loss (Avg): 0.2613 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0962 | Dis Loss (Avg): 0.2603 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0987 | Dis Loss (Avg): 0.2594 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.1014 | Dis Loss (Avg): 0.2584 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 3.05 min
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1044 | Dis Loss (Avg): 0.2573 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1056 | Dis Loss (Avg): 0.2593 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1062 | Dis Loss (Avg): 0.2586 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1066 | Dis Loss (Avg): 0.2580 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1070 | Dis Loss (Avg): 0.2575 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1076 | Dis Loss (Avg): 0.2570 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1085 | Dis Loss (Avg): 0.2564 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1097 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1112 | Dis Loss (Avg): 0.2551 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1132 | Dis Loss (Avg): 0.2543 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1152 | Dis Loss (Avg): 0.2535 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1170 | Dis Loss (Avg): 0.2532 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1187 | Dis Loss (Avg): 0.2524 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1206 | Dis Loss (Avg): 0.2516 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1226 | Dis Loss (Avg): 0.2508 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1248 | Dis Loss (Avg): 0.2500 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 3.12 min
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1249 | Dis Loss (Avg): 0.2554 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1245 | Dis Loss (Avg): 0.2550 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1239 | Dis Loss (Avg): 0.2547 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1237 | Dis Loss (Avg): 0.2544 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1238 | Dis Loss (Avg): 0.2540 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1244 | Dis Loss (Avg): 0.2535 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1256 | Dis Loss (Avg): 0.2529 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1273 | Dis Loss (Avg): 0.2522 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1290 | Dis Loss (Avg): 0.2567 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1310 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1327 | Dis Loss (Avg): 0.2549 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1345 | Dis Loss (Avg): 0.2540 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1365 | Dis Loss (Avg): 0.2532 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1387 | Dis Loss (Avg): 0.2523 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1412 | Dis Loss (Avg): 0.2513 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1423 | Dis Loss (Avg): 0.2566 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 3.19 min
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1429 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1435 | Dis Loss (Avg): 0.2551 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1445 | Dis Loss (Avg): 0.2544 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1458 | Dis Loss (Avg): 0.2536 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1475 | Dis Loss (Avg): 0.2527 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1497 | Dis Loss (Avg): 0.2518 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1524 | Dis Loss (Avg): 0.2508 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1552 | Dis Loss (Avg): 0.2497 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1585 | Dis Loss (Avg): 0.2486 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1620 | Dis Loss (Avg): 0.2475 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1658 | Dis Loss (Avg): 0.2463 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1697 | Dis Loss (Avg): 0.2451 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1739 | Dis Loss (Avg): 0.2438 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1770 | Dis Loss (Avg): 0.2452 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1796 | Dis Loss (Avg): 0.2441 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1821 | Dis Loss (Avg): 0.2431 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 3.26 min
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1848 | Dis Loss (Avg): 0.2420 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1876 | Dis Loss (Avg): 0.2410 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1908 | Dis Loss (Avg): 0.2399 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1940 | Dis Loss (Avg): 0.2388 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1973 | Dis Loss (Avg): 0.2378 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1996 | Dis Loss (Avg): 0.2373 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2013 | Dis Loss (Avg): 0.2364 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2029 | Dis Loss (Avg): 0.2355 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2046 | Dis Loss (Avg): 0.2347 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2064 | Dis Loss (Avg): 0.2339 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2083 | Dis Loss (Avg): 0.2331 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2103 | Dis Loss (Avg): 0.2323 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2124 | Dis Loss (Avg): 0.2314 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2147 | Dis Loss (Avg): 0.2306 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2169 | Dis Loss (Avg): 0.2297 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2178 | Dis Loss (Avg): 0.2318 | Real Acc: 87.50% | Fake Acc: 100.00%
Time elapsed: 3.33 min
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2178 | Dis Loss (Avg): 0.2313 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2177 | Dis Loss (Avg): 0.2308 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2176 | Dis Loss (Avg): 0.2304 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2176 | Dis Loss (Avg): 0.2301 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2176 | Dis Loss (Avg): 0.2297 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2180 | Dis Loss (Avg): 0.2293 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2186 | Dis Loss (Avg): 0.2288 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2193 | Dis Loss (Avg): 0.2283 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2203 | Dis Loss (Avg): 0.2278 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2212 | Dis Loss (Avg): 0.2273 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2223 | Dis Loss (Avg): 0.2267 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2234 | Dis Loss (Avg): 0.2261 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2247 | Dis Loss (Avg): 0.2256 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2244 | Dis Loss (Avg): 0.2311 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2235 | Dis Loss (Avg): 0.2308 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2224 | Dis Loss (Avg): 0.2307 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 3.41 min
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2213 | Dis Loss (Avg): 0.2306 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2206 | Dis Loss (Avg): 0.2305 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2200 | Dis Loss (Avg): 0.2304 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2196 | Dis Loss (Avg): 0.2301 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2195 | Dis Loss (Avg): 0.2299 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2197 | Dis Loss (Avg): 0.2295 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2201 | Dis Loss (Avg): 0.2291 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2206 | Dis Loss (Avg): 0.2287 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2213 | Dis Loss (Avg): 0.2283 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2205 | Dis Loss (Avg): 0.2282 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2178 | Dis Loss (Avg): 0.2289 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2134 | Dis Loss (Avg): 0.2305 | Real Acc: 93.75% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2085 | Dis Loss (Avg): 0.2317 | Real Acc: 100.00% | Fake Acc: 93.75%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2040 | Dis Loss (Avg): 0.2330 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.1999 | Dis Loss (Avg): 0.2342 | Real Acc: 100.00% | Fake Acc: 100.00%
Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.1965 | Dis Loss (Avg): 0.2351 | Real Acc: 100.00% | Fake Acc: 100.00%
Time elapsed: 3.48 min
Total Training Time: 3.48 min
In [43]:
plot_multiple_training_losses(
    losses_list=(log_dict_gan['train_discriminator_loss_per_batch'],
                 log_dict_gan['train_generator_loss_per_batch']),
    num_epochs=GAN_EPOCHS, 
    custom_labels_list=(' -- Discriminator', ' -- Generator')
)
plt.show()
No description has been provided for this image
In [44]:
##########################
### VISUALIZATION
##########################

for i in range(0, GAN_EPOCHS, 10):
    
    plt.figure(figsize=(8, 8))
    plt.axis('off')
    plt.title(f'Generated images at epoch {i}')
    plt.imshow(np.transpose(log_dict_gan['images_from_noise_per_epoch'][i], (1, 2, 0)))
    plt.show()
    
    
plt.figure(figsize=(8, 8))
plt.axis('off')
plt.title(f'Generated images after last epoch')
plt.imshow(np.transpose(log_dict_gan['images_from_noise_per_epoch'][-1], (1, 2, 0)))
plt.show()
No description has been provided for this image
No description has been provided for this image
No description has been provided for this image
No description has been provided for this image
No description has been provided for this image
No description has been provided for this image

It was hard to work on the GAN, as the training takes a long time, so tuning hyperparamaters with epochs that make sense would take hours to complete. Experimenting with Batch Normalization and Deep Convolutional Layers also resulted in poor results, unsure if from using them wrong or having the wrong hyperparameters.

Conclusion ¶

In conclusion, the models are not great at generating new images, mostly as it would take a long time to tune the hyperparameters and the models might not be dense enough for the images.

In [ ]: